| Date | Subject | Code |
|---|---|---|
| 8-25 | Introduction; Nature of time-to-event data | |
| 8-27 | Hazard functions and other functions of survival time | |
| 9-1 | Likelihood construction | R |
| 9-3 | Censoring mechanisms | R |
| 9-8 | The Kaplan-Meier estimator | R |
| 9-10 | Inference for KM estimator | R |
| 9-17 | Log-rank test | R |
| 9-22 | Power and sample size calculations | R |
| 9-24 | Stratification | R |
| 9-29 | Likelihood-based inference | R |
| 10-1 | Exam I | |
| 10-6 | Likelihood-based inference (cont'd) | |
| 10-8 | Proportional hazards models | R |
| 10-13 | The Weibull distribution | R |
| 10-15 | Accelerated failure time models | R |
| 10-20 | Accelerated failure time models (cont'd) | |
| 10-22 | Semiparametric regression | R |
| 10-27 | Cox regression: Estimation | R |
| 10-29 | Cox regression: Inference | R |
| 11-5 | Cox: Tied survival times; estimation of survival probability | R |
| 11-10 | Cox regression: Residuals and model checking | R |
| 11-12 | Exam II | |
| 11-17 | Cox regression: Stratification | R |
| 11-19 | Quantifying predictive accuracy in Cox models | R |
| 11-24 | Thanksgiving | |
| 11-26 | Thanksgiving | |
| 12-1 | Time-dependent coefficients | R |
| 12-3 | Time-dependent covariates | R |
| 12-8 | Competing risks | R |
| 12-10 | Recurrent events and multistate models | R |