CSCAR

The Center For Statistical Consultation and Research
3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070 cscar@umich.edu
more info

Home  >  Workshops and Seminars

Statistical Analysis with Missing Data

A CSCAR Workshop presented by the Center for Statistical Consultation and Research and NSF Center for the Analysis of Pathways from Childhood to Adulthood

May 17 and 18, 2005
Roderick Little, Trivellore Raghunathan, Brenda Gillespie, Kathy Welch and Brady West

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 in statistical software
• Applications to survey data

There will also be hands-on computer lab sessions to implement missing data methods on real data sets.

Instructors

Roderick Little is Professor in the Department of Biostatistics and the Department of Statistics at the University of Michigan. He is past Coordinating and Applications Editor of the Journal of the American Statistical Association. He is coauthor of Statistical Analysis with Missing Data (R.J.A. Little and D.B. Rubin, 1987), which has become the standard statistical text on the subject.

Trivellore Raghunathan is Professor in the Department of Biostatistics and Research Professor in the Survey Research Center, Institute for Social Research.

Brenda Gillespie is the associate director of CSCAR and Assistant Professor in the Department of Biostatistics at the University of Michigan. She has extensive experience as a statistical consultant, and specializes in the various methods for analysis of censored data.

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.

Brady West is the primary SPSS consultant at CSCAR, and consults on topics in Stata as well as a variety of other statistical software packages.

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.

Prerequisite

Provisions

The participant will receive outlines and a bibliography. Professor Little's book, Statistical Analysis with Missing Data is recommended but not required. Refreshments will be provided. Lunch not provided.

Dates & Times

May 17 and 18, 2005, 8:30 AM - 5:00 PM
Morning Lecture: 8:30 AM - 12:00 PM
Afternoon Lab: 1:00 PM - 5:00 PM

Location

Morning Lecture: Steven M. Ross School of Business, Room K1310
Afternoon Lab: Steven M. Ross School of Business, Room E0402

Fees

Registrations on or before May 2, 2005
• $250 for University of Michigan affiliated faculty, staff and students
• $600 for others

Registrations after May 2, 2005
• $300 for University of Michigan affiliated faculty, staff and students
• $720 for others

Please make check payable to CSCAR-University of Michigan, or give the University of Michigan Project/Grant or shortcode 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.