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3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070
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Statistical Analysis with Missing Data
May 16 and 17, 2011
Kathy Welch and Brady West
This workshop presented by University of Michigan CSCAR staff Brady West and Kathy Welch, will provide an overview of approaches to statistical analysis in the presence of missing data and statistical computing tools for dealing with missing data in statistical analysis.
- Course Content
- Statistical Analysis with Missing Data will address the following issues:
- Types of nonresponse and missing data mechanisms
- Simple approaches: Complete case and available case
- Weighting methods for unit nonresponse
- Imputation methods for item nonresponse
- Model-Based methods
- Longitudinal analysis and attrition
- Implementing methods using statistical software
- Applications to survey data
There will also be hands-on computer lab sessions to implement missing data methods on real data sets.
- Statistical Analysis with Missing Data will address the following issues:
- Instructors
-
Brady West is a statistical consultant at CSCAR, and consults on statistical methods for analyzing data sets with missing data in addition to conducting research on missing data methods as a doctoral student in the Michigan Program in Survey Methodology.
Kathy Welch is a Statistical Consultant and primary SAS Consultant for CSCAR. She consults at CSCAR on linear regression, Poisson regression, and analysis of cluster or longitudinal data, as well as other topics. Kathy also teaches a course in statistical computing for the School of Public Health, and workshops on SAS for CSCAR and various academic departments and public agencies.
- Audience
- Anyone interested in modern methods for handling nonresponse and missing data in statistical analysis. This workshop will emphasize concepts and applications over technical details, but will presume a familiarity with basic statistical concepts, including probability distributions, estimation, maximum likelihood and regression.
- Provisions
-
The participant will receive lecture notes, example computer code, and a bibliography. Professor Little's book with Don Rubin, Statistical Analysis with Missing Data is recommended but not required. Refreshments will be provided; lunch not provided.
- Dates & Times
-
Monday and Tuesday, May 16 and 17, 2011, 9:00 a.m. to 5:00 p.m.
- Location
- Modern Language Building, Room 2001A
- Fees
-
Registration on and until May 2, 2011:
$300 for University of Michigan affiliated faculty, staff and students
$700 for others
Registration after May 2, 2011:
$350 for University of Michigan affiliated faculty, staff and students
$850 for otherPlease make check payable to CSCAR-University of Michigan, or give the University of Michigan short code to be billed. Send check to CSCAR, 3550 Rackham Bldg., University of Michigan, 915 E. Washington St., Ann Arbor, MI, 48109-1070.
- Registration
- Call CSCAR at 734-764-7828. Enrollment is limited.