Logistic Regression; Model Building, Assessment, and
Presenting Results
Presented by: David Hosmer, Ph.D
Professor of Biostatistics (Emeritus)
Division of Biostatistics and Epidemiology Department of Public Health School of Public Health and Health Sciences
University of Massachusetts
Adjunct Professor of Statistics Department of Mathematics and Statistics
University of Vermont
Date: Half-day course
Thursday, April 23, 2015
8:00 a.m. – 12:00 p.m. Central time
Location: Cerner Vision Center on Cerner Corporation's World Headquarters Campus
2850 Rockcreek Parkway
Kansas City, MO 64117
Course Description:
Logistic regression is the most frequently used statistical model in the applied literature. Hence it behooves statisticians to have a thorough grounding in this model. Thus, the content for this half-day course covers methods for model building, evaluation and presentation of results, all illustrated with examples. Attendees will:
- Become familiar with an easily understood method for selecting and evaluating model covariates
- Understand, through examples, the importance of evaluating model fit through tests of fit and diagnostic statistics
and most importantly
- See through examples techniques for presenting model results that are easily understood by a subject matter audience.
Presenter:
David Hosmer, Ph.D
Professor of Biostatistics (Emeritus) in the Division of Biostatistics and Epidemiology of the School of Public Health and Health Sciences at the University of Massachusetts and an Adjunct Professor of Statistics in the Department of Mathematics and Statistics at the University of Vermont. He is a coauthor, with Stanley Lemeshow and Rodney Sturdivant of Applied Logistic Regression, now in its third edition. Dr. Hosmer has taught similar short courses through out the US, Europe, and Australia. He was recently profiled in a feature at statisticsviews.com.