-- -- CSCAR  
-- --   center for statistical consultation and research  
Hill Auditorium
--
about us
about us
location
workshops
software help
external resources
spatial
jobs
contact
search
--
The Center For Statistical Consultation and Research
3550 Rackham Building
University of Michigan
Ann Arbor, MI 48109-1070
cscar@umich.edu
.
Contact
 

Advanced Topics in Regression Analysis

Using Stata

A CSCAR Workshop

Center for Statistical Consultation and Research, The University of Michigan


October 10, 2008


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, Associate Research Scientist at CSCAR. and Adjunct Associate Professor at the Department of Statistics.

Joe Kazemi, 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).


When:

Friday, October 10, 2008
9:00 A.M. - 5:00 P.M.

Location:

Rackham Bldg, 2nd floor, North Alcove in the West Study Hall

Size:

Maximum of 15 participants.

 


Fee:

Registration until September 26, 2008:
$150 for University of Michigan affiliated faculty, staff and students
$325 for others
Registration after September 26, 2008:
$180 for University of Michigan affiliated faculty, staff and students
$390 for others
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 (734) 764-7828. Enrollment is limited.

CSCAR Home | About Us | Location | Workshops & Seminars | Software Help | External Resources | Spatial Analysis GIS | Contact Us | Search
 
--
 
Copyright © 1998 - 2002 The Regents of the University of Michigan, Ann Arbor