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3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070 cscar@umich.edu
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INTRODUCTION TO PROC MIXED
(Longitudinal and Clustered Data)
May 11 and 13, 2009
Myra Kim and Kathy Welch, Instructors
Do you have two or more observations on the same person (longitudinal or repeated measures data)?
Do you have observations on students from several different classes, or rats from different litters (clustered or hierarchical data)?
Normal linear regression doesn't work in these situations.
Fortunately, SAS Proc Mixed is a flexible tool that can handle all of these problems, as long as the response variable is approximately continuous. It works even when some data are missing.
The workshop will consist of morning lectures and afternoon hands-on computer sessions.
Click here for the workshop data!- Instructors
- Myra Kim is an Associate Research Scientist at CSCAR and an Adjunct Assistant Professor in the Department of Biostatistics. She has taught biostatistics and collaborated with scientific investigators from many fields.
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
- Researchers in applied fields.
- Prerequisite
- Introductory statistics, familiarity with multiple regression, experience with SAS or any other statistical software, experience with computers running Windows 95, 98, or NT.
- Provisions
- Enrollees will receive lecture notes, a bibliography, and example computer package commands with output. Morning refreshments are served. Break time for lunch (lunch not provided); many restaurants nearby.
- Dates & Times
- Monday and Wednesday, May 11 and 13, 2009. 9:00 AM - 4:30 PM
- Location
- Rackham Bldg, 3rd floor, East Seminar Room
- Fees
- $250 for University of Michigan affiliated faculty, staff and students
- $600 for others
Registrations on or before April 27, 2009 - $300 for University of Michigan affiliated faculty, staff and students
- $720 for others
Registrations after April 27, 2009 Please make check payable to CSCAR-University of Michigan, or give the University of Michigan Account 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 to 20 participants.