****************************************** ***** Biostatistics 513 ***** ****************************************** Week (1): Monday 4/1 Introduction / motivation / "big picture" (syllabus, notes pp. 1-4) Wednesday 4/3 RxC Tables, test of homogeneity/independence (notes pp. 5-20) Friday 4/5 2x2 Tables and summary measures (notes pp. 21-36) Week (2): Monday 4/8 Odds ratios (notes pp. 37-53) Wednesday 4/10 Paired data & McNemar's / Fisher's exact (notes pp. 54-67) Friday 4/12 Causes & Confounding (notes pp. 68-79) Week (3): Monday 4/15 Mantel-Haenszel Test, Woolf's Test (notes pp. 80-104) Wednesday 4/17 Mantel-Haenszel estimate / heterogeneity / paired (notes pp. 105-122) Friday 4/19 Trend test / Some examples (notes pp. 123-129, handouts) Week (4): Monday 4/22 Review Ex#2, Intro logistic regression (hw key, notes pp. 130-135) Wednesday 4/24 Logistic regression for 2x2 and stratified (notes pp. 136-147) Friday 4/26 Logistic regression for 2x2 and stratified (notes pp. 148-162) Week (5): Monday 4/29 Logistic regression for 2x2 and stratified (notes pp. 163-173) Wednesday 5/1 Logistic regression and likelihood (notes pp. 174-189 skipping 184-188) Friday 5/3 Likelihood ratio test / Models (notes pp. 189-204) Week (6): Monday 5/6 Comments on Ex#4, Models (notes pp. 195-204) Wednesday 5/8 MIDTERM EXAM Friday 5/10 More on models (notes pp. 205-207) Week (7): Monday 5/13 Case control / Example (notes pp. 209-215) Wednesday 5/15 Example / Prediction (notes pp. 243-251) Friday 5/17 Model specification (notes pp. 216-242) Week (8): Monday 5/20 Survival data (notes pp. 252-268) Wednesday 5/22 Kaplan-Meier (notes pp. 269-279) Friday 5/24 Log-rank test (notes pp. 280-295) Week (9): Monday 5/27 HOLIDAY Wednesday 5/29 Cox regression -- model and estimation (notes pp. 296-325) Friday 5/31 Cox regression / graphical checks of PH (notes pp. 326-339) Week (10): Monday 6/3 Stratified Cox Regression (notes pp. 339-344) Wednesday 6/5 Review / example with stratification Friday 6/7 review; feedback