| Date | Subject | Code | 
|---|---|---|
| 8-22 | Introduction; Nature of time-to-event data | |
| 8-24 | Hazard functions and other functions of survival time | R | 
| 8-29 | Likelihood construction | R | 
| 8-31 | Censoring mechanisms | R | 
| 9-05 | The Kaplan-Meier estimator | R | 
| 9-07 | Inference for KM estimator | R | 
| 9-12 | Log-rank test | R | 
| 9-14 | Power and sample size calculations | R | 
| 9-19 | Stratification | R | 
| 9-21 | Likelihood-based inference: Single parameter | R | 
| 9-26 | Likelihood-based inference: Single parameter (cont'd) | |
| 9-28 | Likelihood-based inference: Multiple parameters | R | 
| 10-03 | Proportional hazards models | R | 
| 10-05 | Exam I | |
| 10-10 | The Weibull distribution | R | 
| 10-12 | Accelerated failure time models | R | 
| 10-17 | Accelerated failure time models (continued) | |
| 10-19 | Semiparametric regression | R | 
| 10-24 | Cox regression: Estimation | R | 
| 10-26 | Cox regression: Inference | R | 
| 10-31 | Cox regression: Inference (continued) | |
| 11-02 | Cox: Tied survival times; estimation of survival probability | R | 
| 11-07 | Cox regression: Residuals and model checking | R | 
| 11-09 | Exam II | |
| 11-14 | Cox regression: Stratification | R | 
| 11-16 | Quantifying predictive accuracy in Cox models | R | 
| 11-21 | Thanksgiving | |
| 11-23 | Thanksgiving | |
| 11-28 | Time-dependent coefficients | R | 
| 11-30 | Time-dependent covariates | R | 
| 12-05 | Competing risks | R | 
| 12-07 | Recurrent events and multistate models | R | 
