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DTSTAMP:20250513T122307
DTSTART;TZID=America/Detroit:20250107T093000
DTEND;TZID=America/Detroit:20250107T110000
SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays
DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324)
UID:117253-21865812@events.umich.edu
URL:https://events.umich.edu/event/117253
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Machine Learning,Social Science,Social Sciences
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20241209T150709
DTSTART;TZID=America/Detroit:20250108T120000
DTEND;TZID=America/Detroit:20250108T130000
SUMMARY:Lecture / Discussion:MPSDS JPSM Seminar Series - Establishing the New NCHS Rapid Surveys System  -- Challenges and Lessons Lear
DESCRIPTION:MPSDS JPSM Seminar Series\nJanuary 8\, 2025\n12:00 - 1:00 pm EST\n\nIn person\, room 1070 Institute for Social Reach\, and via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.\n\nEstablishing the New NCHS Rapid Surveys System -- Challenges and Lessons Learned\n\nThe COVID-19 pandemic highlighted the need for timely critical health and health care data from population-based surveys. Legacy surveys such as the National Health Interview Survey (NHIS) could not meet this need due to both the disruption to data collection from the pandemic and the longer processing times prior to data release. To meet the continuing demand for relevant and timely data on emerging health topics\, the National Center for Health Statistics (NCHS) now fields “rapid surveys” several times each year\, simultaneously using two commercial probability-sampled online survey panels. Each survey includes a broad range of questions based on current needs of Centers for Disease Control and Prevention (CDC) programs\, so no two Rapid Surveys are alike. Statistical weighting methods leverage the strength of the NHIS to improve the reliability of estimates. Rapid Surveys use different methodology\, have fewer participants\, and have lower precision compared with other NCHS household surveys. However\, before each public data release\, NCHS conducts an extensive review of the quality of all data collected. This presentation will highlight goals\, key features\, data quality\, and implementation challenges of the NCHS Rapid Surveys System.\n \nStephen Blumberg is Director of the Division of Health Interview Statistics at the National Center for Health Statistics (NCHS)\, a position he has held since 2017.  This Division collects\, processes\, analyzes\, and distributes household survey data from the National Health Interview Survey\, the National Survey of Family Growth\, and the new NCHS Rapid Surveys System.  Prior to assuming this role\, Dr. Blumberg was senior scientist and lead statistician for the National Survey of Children with Special Health Care Needs and the National Survey of Children’s Health.  Dr. Blumberg has served as a member of the Federal Committee on Statistical Methodology\, President of DC-AAPOR\, Chair of the AAPOR Standards Committee\, and Chair of the NCHS Ethics Review Board.  Dr. Blumberg has a PhD in Social Psychology from the University of Texas at Austin.
UID:129841-21864639@events.umich.edu
URL:https://events.umich.edu/event/129841
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Adolescent Health,Anthropology,Basic Science,Bias,Biomedical,Biosciences,Biosciences Initiative,brown bag,Center For Political Studies,Cognition,conference,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Free,Graduate,Graduate and Professional Students,Health,Health & Wellness,Health And Retirement Study,Health Data,Health Equity,In Person,Information and Technology,Interdisciplinary,Kinesiology,Lecture,Mathematics,Medicine,Public Health,Research,Science,Social Science,Social Sciences,Sociology,Statistics,Survey Methodology,Survey Research,Talk,Virtual
LOCATION:Institute For Social Research - 1070.
CONTACT:
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