| Class information: | www-stat.stanford.edu/~olshen/hrp262spring01/ McCullough Building, Room 122 Mondays and Wednesdays, 10:45 am - noon First class, April 4; last class, June 6 |
| Instructor: | Richard Olshen Sequoia Hall, Room 228 HRP Redwood Building, Room T152A Office hours: Wednesdays, 4 pm to 5:30 pm or by appointment olshen@stat.stanford.edu |
| Teaching Assistant: | Jing Huang Sequoia Hall, Room 229 Office hours: Thursdays, 4 pm to 5 pm and Tuesdays, 1 pm to 2 pm or by appointment hjh@stat.stanford.edu |
| Required texts: | Applied Regression Analysis and Other Multivariable Methods,
Third Edition, by David G. Kleinbaum, Lawrence L. Kupper, Keith E. Muller, Azhar Nizham, Duxbury Press Survival Analysis, A Self-Learning Test, by David G. Kleinbaum, Springer |
The general description of the course follows. Because there are guest lecturers, the actual content may vary slightly from this description. In any case, there will be four homework assignments and a take-home final exam.
The course begins with a review of linear regression and accompanying analyses of variance, and also a review of linear prediction. The main focus is on survival analysis, and includes the actuarial and Kaplan-Meier methods; the log-rank, Gehan, and related tests; parametric models of survival, especially the Weibull model; and semi-parametric models, especially the Cox model, including estimation of baseline hazard. The course also includes an introduction to sample reuse methods. Emphasis is on practical inferential matters as opposed to theory.
Plans are for lectureres on April 18, 23, 25, and 30, and June 4 to be given by Professor Philip Lavori, and for lectures on May 16, 21, and 23 to be given by Professor Bradley Efron.