| Week | Date | Subject | Note |
|---|---|---|---|
| 1 | 8/21 | Introduction | |
| 8/23 | Categorical data and common distributions;Likelihood function | part_1.pdf | |
| 2 | 8/28 | MLE; Inference for one proportion | |
| 8/30 | Finish Ch1; Ch2 - Introduction to contingency tables | ||
| 3 | 9/4 | No CLASS - University Holiday | |
| 9/6 | Risk measures for a 2 by 2 contingency table; HW 1 Due (Ch1) | ||
| 4 | 9/11 | Test of Independence and linear trend; | |
| 9/13 | Three-way Tables - the 2 x 2 x K case; | part_2.pdf | |
| 5 | 9/18 | Ch3 - Generalized Linear model Intro | |
| 9/20 | GLM goodness of fit and diagnosis; Hw 2 Due (Ch2) | part_3.pdf | |
| 6 | 9/25 | Poisson Regression | |
| 9/27 | Tentative: Midterm 1 (Ch1 and Ch2) | ||
| 7 | 10/2 | Finish Ch3 | part_4.pdf |
| 10/4 | Simple logistic regression | ||
| 8 | 10/9 | Logistic regression for contingency table Hw 3 Due (Ch3) | |
| 10/11 | Modeling strategies for logistic model | ||
| 9 | 10/16 | Modeling strategies for logistic model (cont.) | part_5.pdf |
| 10/18 | Modeling strategies for logistic model (SAS/R) | ||
| 10 | 10/23 | Multicategory Logit Model: Baseline logits model ; Hw 4 Due (Ch4, and Sec 5.1 & 5.2) | |
| 10/25 | Cumulative Logits model | ||
| 11 | 10/30 | Overdispersion; Adjacent Categories Logits model | part_6.pdf |
| 11/1 | Tentative: Midterm 2 (Ch3, Ch4, and Sec 5.1 & 5.2) | ||
| 12 | 11/6 | Loglinear models for two-way tables | |
| 11/8 | Loglinear models for three-way tables; Hw 5 Due (Ch6) | part_7.pdf | |
| 13 | 11/13 | Finish Ch7 | |
| 11/15 | Compare dependent proportions | 11-15.pdf | |
| 14 | 11/20 | No CLASS - Thanksgiving Recess | |
| 11/22 | No CLASS - Thanksgiving Recess | ||
| 15 | 11/27 | Conditional Logistic Regression for Matched Pairs Hw 6 Due (Ch7) | 11-27.pdf |
| 11/29 | GEE for Correlated response | 11-29.pdf | |
| 16 | 12/4 | Random effects: Generalized Linear Mixed Models | 12-4.pdf |
| 12/6 | Paper discussion; Reproducible research Hw 7 Due | ||
| Final Eaxm | 12/11 | If written exam, Ch 6 and 7. |