| Class information: | www-stat.stanford.edu/~olshen/hrp261win03/ McCullough Building, Room 122 Monday 10 am - 10:50 am; Wednesdays, 3:15 am - 4:45 pm First class, January 8; last class, March 12 |
| Instructor: | Richard Olshen Sequoia Hall, Room 228 HRP Redwood Building, Room T152A Office hours: Thursdays, 4:15 pm to 5:30 pm or by appointment olshen@stat.stanford.edu |
| Co-instructor: | Kristin Cobb HRP Redwood Building, Room 238 Office hours: to be announced or by appointment kcobb@stanford.edu Phone: 498-6784 |
| Required texts: | An Introduction to Categorical Data Analysis by Alan Agresti Wiley Series in Probability and Statistics, 1996 |
| Helpful additional books: | Categorical Data Analaysis Using the SAS System, 2nd Edition by Maura E. Stokes, Charles S. Davis, and Gary G. Koch SAS Institute, 2000 |
| Logistic Regression A Self-Learning Text, Second Edition David G. Kleinbaum and Mitchel Klein Spring, 2002 | |
| Applied Logistic Regression, Second Edition by David W. Hosmer and Stanley Lemeshow Wiley Series in Probability and Statistics, 2000 |
For the most part the course will cover material described in the Stanford Bulletin. Thus, we will analyze proportions in both one and two-sample cases. In conjunction with this we will discuss the 2x2 table, chi-square and Fisher's exact test; odds ratios; sampling plans, case control and cohort studies, series of 2x2 tables; the Mantel-Haenszel statistic; kxm tables; matched data including the McNemar statistic and the kappa measure of agreement; logistic models, including conditional logistic analysis and application to case-control data; some log-linear models; and such special topics as time allows and your interests dicate. Special topics will be reserved for the last two class meetings.
The order of topics will follow closely what is in the first six chapters and part of Chapter 9 of the excellent required text by Agresti. In addition, copies of various papers and parts of books will be shared.
There will be four required homework exercises; each will count for 12.5% of your grade. They will be due Wednesday, January 22; Monday, February 3; Wednesday, February 26; and Monday, March 10. Examinations will be take-home. The single midterm will be due Wednesday, February 12. It will count 20%, and the comprehensive final 30%.
Much material will be posted on the Web site, URL listed in the previous.
The hope is that this course will be both fun and educational for everyone.