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West & Yajuan Si", "event_type":"Class \/ Instruction", "event_type_id":"8", "description":"Analysis of Complex Sample Survey Data\r\n\r\nOpen for registration!\r\n\r\nJune 6 - July 29, 2022\r\n10:00am-12:00pm\r\nM\/W\/F\r\n\r\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.\r\n\r\nWhy take this course? \r\n- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples\r\n- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data\r\n- To see various examples of applied statistical analyses of survey data\r\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.\r\n\r\nCourse Hours: 3\r\n\r\nInstructors: Brady T. 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The course includes an exercise that integrates the different techniques into a comprehensive sample design.\r\n\r\nWhy take this course? \r\n- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective\r\n- To be able to identify and appropriately apply sampling techniques to survey design problems\r\n- To be able to compute the sample size for a variety of sample designs\r\n- To understand and be able to assess the impact of the sample design on survey estimates\r\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\r\n\r\nCourse Hours: 3\r\n\r\nInstructors: Raphael Nishimura, Sunghee Lee\r\n\r\nPrerequisite: Two graduate-level courses in statistical methods.\r\n\r\nAll 2022 courses will be offered in an alternative remote format.", "occurrence_notes":null, "guid":"95203-21788966@events.umich.edu", 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