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DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220628T100000
DTEND;TZID=America/Detroit:20220628T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788939@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220629T100000
DTEND;TZID=America/Detroit:20220629T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788834@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220630T100000
DTEND;TZID=America/Detroit:20220630T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788941@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220701T100000
DTEND;TZID=America/Detroit:20220701T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788836@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220705T100000
DTEND;TZID=America/Detroit:20220705T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788946@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220706T100000
DTEND;TZID=America/Detroit:20220706T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788841@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220707T100000
DTEND;TZID=America/Detroit:20220707T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788948@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220708T100000
DTEND;TZID=America/Detroit:20220708T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788843@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220711T100000
DTEND;TZID=America/Detroit:20220711T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788846@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220712T100000
DTEND;TZID=America/Detroit:20220712T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788953@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220713T100000
DTEND;TZID=America/Detroit:20220713T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788848@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220714T100000
DTEND;TZID=America/Detroit:20220714T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788955@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220715T100000
DTEND;TZID=America/Detroit:20220715T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788850@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220718T100000
DTEND;TZID=America/Detroit:20220718T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788853@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220620T135013
DTSTART;TZID=America/Detroit:20220718T130000
DTEND;TZID=America/Detroit:20220718T170000
SUMMARY:Class / Instruction:A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers - Summer Institute in Survey Research Techniques
DESCRIPTION:A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers\n\nCourse open for registration!\n\nJuly 18-19\, 2022\n1:00pm-5:00pm\nM/T\n\nThis short course will offer a very practical introduction to data gathering geared at social scientists and survey researchers. This course begins with an overview of web scraping discussing some basic technical jargon\, types of web data and various methods for scraping. The course also includes a discussion and illustration of Application Programming Interfaces (APIs) use for gathering web data when they are available. Some websites are designed to be easily accessible by web crawlers or scraping algorithms while others require much more advanced\, custom programming. And some web data can be accessed using an API that is provided by the website. In this course we will illustrate how participants can discern these differences as well as presenting several motivating examples of the various ways web scraped data can be used throughout a study’s lifecycle from design to calibration to analysis. We provide an extensive introduction to a suite of freeware programs that allow virtually syntax free\, but customizable\, web scraping capabilities. We contrast this type of gathered data access to APIs for some websites like Zillow or Twitter and discuss pros and cons of using web scraping or APIs to gather this type of web data. The course concludes with specific focus on the import.io tool where we demonstrate its capabilities and provide several\, hands-on practical examples for participants to begin scraping several websites of increasing complexity. We will also illustrate API calls in R for Zillow\, the Census and others as time permits.\n\nNot for academic credit.\n\nInstructor: Trent Buskirk\n\nAll 2022 courses will be held in an alternative remote format.
UID:95709-21790759@events.umich.edu
URL:https://events.umich.edu/event/95709
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220719T100000
DTEND;TZID=America/Detroit:20220719T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788960@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220620T135013
DTSTART;TZID=America/Detroit:20220719T130000
DTEND;TZID=America/Detroit:20220719T170000
SUMMARY:Class / Instruction:A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers - Summer Institute in Survey Research Techniques
DESCRIPTION:A Virtually Syntax Free Practical Introduction to Web Scraping for Survey and Social Science Researchers\n\nCourse open for registration!\n\nJuly 18-19\, 2022\n1:00pm-5:00pm\nM/T\n\nThis short course will offer a very practical introduction to data gathering geared at social scientists and survey researchers. This course begins with an overview of web scraping discussing some basic technical jargon\, types of web data and various methods for scraping. The course also includes a discussion and illustration of Application Programming Interfaces (APIs) use for gathering web data when they are available. Some websites are designed to be easily accessible by web crawlers or scraping algorithms while others require much more advanced\, custom programming. And some web data can be accessed using an API that is provided by the website. In this course we will illustrate how participants can discern these differences as well as presenting several motivating examples of the various ways web scraped data can be used throughout a study’s lifecycle from design to calibration to analysis. We provide an extensive introduction to a suite of freeware programs that allow virtually syntax free\, but customizable\, web scraping capabilities. We contrast this type of gathered data access to APIs for some websites like Zillow or Twitter and discuss pros and cons of using web scraping or APIs to gather this type of web data. The course concludes with specific focus on the import.io tool where we demonstrate its capabilities and provide several\, hands-on practical examples for participants to begin scraping several websites of increasing complexity. We will also illustrate API calls in R for Zillow\, the Census and others as time permits.\n\nNot for academic credit.\n\nInstructor: Trent Buskirk\n\nAll 2022 courses will be held in an alternative remote format.
UID:95709-21790760@events.umich.edu
URL:https://events.umich.edu/event/95709
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220720T100000
DTEND;TZID=America/Detroit:20220720T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788855@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220721T100000
DTEND;TZID=America/Detroit:20220721T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788962@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220722T100000
DTEND;TZID=America/Detroit:20220722T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788857@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220725T100000
DTEND;TZID=America/Detroit:20220725T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788860@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220725T100000
DTEND;TZID=America/Detroit:20220725T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788966@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220726T100000
DTEND;TZID=America/Detroit:20220726T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788967@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220727T100000
DTEND;TZID=America/Detroit:20220727T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788862@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101603
DTSTART;TZID=America/Detroit:20220728T100000
DTEND;TZID=America/Detroit:20220728T123000
SUMMARY:Class / Instruction:Methods of Survey Sampling - Summer Institute in Survey Research Techniques
DESCRIPTION:Methods of Survey Sampling\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:30pm EST\nT/Th\n\nA fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics\, with an emphasis on the practical problems of sample design\, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified\, clustered\, systematic\, and multi-stage sample designs\, unequal probabilities and probabilities proportional to size\, area probability sampling\, ratio means\, sampling errors\, frame problems\, cost factors\, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations\, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.\n\nWhy take this course? \n- To understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\n- To be able to identify and appropriately apply sampling techniques to survey design problems\n- To be able to compute the sample size for a variety of sample designs\n- To understand and be able to assess the impact of the sample design on survey estimates\n- To learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report\n\nCourse Hours: 3\n\nInstructors: Raphael Nishimura\, Sunghee Lee\n\nPrerequisite: Two graduate-level courses in statistical methods.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95203-21788969@events.umich.edu
URL:https://events.umich.edu/event/95203
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20220606T101508
DTSTART;TZID=America/Detroit:20220729T100000
DTEND;TZID=America/Detroit:20220729T120000
SUMMARY:Class / Instruction:Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
DESCRIPTION:Analysis of Complex Sample Survey Data\n\nOpen for registration!\n\nJune 6 - July 29\, 2022\n10:00am-12:00pm\nM/W/F\n\nThis course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R)\, the National Health and Nutrition Examination Surveys (NHANES)\, and the Health and Retirement Study (HRS). Relevant design features of the NCS-R\, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates\, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs\, the course will turn to the construction of survey weights\, estimation of sampling variance\, descriptive analysis\, regression analysis\, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises\, computer lab exercises\, and a final analysis project.\n\nWhy take this course? \n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\n- To see various examples of applied statistical analyses of survey data\n- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data\, and getting expert feedback on that paper.\n\nCourse Hours: 3\n\nInstructors: Brady T. West\, Yajuan Si\n\nPrerequisite: Two graduate-level courses in statistical methods\, familiarity with basic sample design concepts\, and familiarity with data analytic techniques such as linear and logistic regression.\n\nAll 2022 courses will be offered in an alternative remote format.
UID:95202-21788864@events.umich.edu
URL:https://events.umich.edu/event/95202
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Population Studies Center
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
END:VCALENDAR