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3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070 cscar@umich.edu
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Advanced Topics in Regression Analysis
Using Stata
December 1, 2009
Ananda Sen and Joe Kazemi
Traditional regression analysis for continuous data fits a single linear function of the independent variables through the center of the observed response, under the normal distributional assumption. In practical applications, one often encounters situations that require substantial modification of the standard methodology. This one-day workshop discusses certain advancements in the area of regression that goes beyond the realm of the traditional framework.
Specifically we shall cover topics such as lowess, spline, and quantile regression. Spline and lowess techniques involve fitting piecewise models in an attempt to identify the relationship between the outcome and predictors under a robust, distribution-free framework. On the other hand, quantile regression is a model of the linear association between predictors and quantiles of the response. This technique is particularly useful for heterogeneous populations where interest lies on a percentile rather than the center.
In addition, we shall also discuss regression procedures for zero-inflated models that are applicable to count data with an excess of zero counts. Methodological modules will be interspersed with hands-on computer implementation using the statistical software package Stata (Version SE 10.0 for Windows).
- Instructors
- Ananda Sen is an Associate Research Scientist at CSCAR. and Adjunct Associate Professor at the Department of Statistics.
Joe Kazemi is a Statistical Consultant at CSCAR. - Prerequisite
- A Windows instruction class or equivalent knowledge, basic experience in data analysis and regression, and a basic knowledge of Stata.
- Provisions
- The enrollee will receive lecture notes. Morning refreshments will be served. Break time for lunch (lunch not provided).
- Dates & Times
- Tuesday, December 1, 2009, 9:00 AM - 5:00 PM
- Location
- Rackham Bldg, 2nd floor, North Alcove in the West Study Hall
- Fees
- $150 for University of Michigan affiliated faculty, staff and students
- $325 for others
Registrations on or before November 17, 2009 - $180 for University of Michigan affiliated faculty, staff and students
- $390 for others
Registrations after November 17, 2009 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 to 15 participants.