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3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070
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Introduction to Proc Mix
(Longitudinal and Clustered Data)
May 11 and 14-15, 2012
Kathy Welch
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.
- Instructors
- 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
- 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
- Friday May 11, 2012 and Monday-Tuesday May 14-15, 2012, 8:30am-12:00 pm - 1:00pm-3:30pm
- Location
- Modern Languages Building (MLB) Room 2001A
- Fees
-
- $300 for University of Michigan affiliated faculty, staff and students
- $700 for others
Registrations on or before April 27, 2012 - $350 for University of Michigan affiliated faculty, staff and students
- $850 for others
Registrations after April 27, 2012 Please make check payable to CSCAR-University of Michigan, or give the University of Michigan Project/Grant or 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.