|
|
| Stat 149 Home |
| Assignments |
| Exams |
| Lecture Materials |
| Datasets |
| References |
| Stat Computing |
| Calendar |
|
|
| Mark Irwin |
Statistics 149 - Generalized Linear Models
Instructor: Mark Irwin
Office: Science Center 611
Phone: 617-495-5617
E-mail: irwin@stat.harvard.edu
Lectures: Tuesday & Thursday , 10:00 - 11:30, Science Center 111 (note room change)
Office Hours: Monday 1:00 - 2:00, Thursday 2:00 - 3:00, or by
appointment.
Syllabus:
PDF version of the syllabus
Teaching Fellow: Charity Morgan
E-mail:
cmorgan@stat.harvard.edu
Sections: To be announced
Course Description
An introduction to methods for analyzing categorical data. Emphasis will be on understanding models and applying them to datasets. Topics include visualizing categorical data, analysis of contingency tables, odds ratios, log-linear models, generalized linear models, logistic regression, Poisson regression and model diagnostics. Examples drawn from many fields, including biology, medicine and the social sciences.
Announcements
Final Exam
Just a reminder that the final exam will be on Wednesday, May 24th, at 9:15am in Harvard 202. You may bring up to 4 sheets of notes (both sides). Bringing a calculator is strongly suggested.
|
|
|