| Date | Subject | Code | 8-21 | Introduction; Nature of time-to-event data | 8-23 | Hazard functions and other functions of survival time | R | 8-28 | Likelihood construction | R | 8-30 | Censoring mechanisms | R | 9-04 | The Kaplan-Meier estimator | R | 9-06 | Inference for KM estimator | R | 9-11 | Log-rank test | R | 9-13 | Stratification | R | 9-18 | Power and sample size calculations | R | 9-20 | Likelihood-based inference: Single parameter | R | 9-25 | Likelihood-based inference: Single parameter (cont'd) | 9-27 | Likelihood-based inference: Multiple parameters | R | 10-02 | Proportional hazards models | R | 10-04 | Exam I | 10-09 | The Weibull distribution | R | 10-11 | Accelerated failure time models | R | 10-16 | Accelerated failure time models (continued) | 10-18 | Semiparametric regression | R | 10-23 | Cox regression: Estimation | R | 10-25 | Cox regression: Inference | R | 10-30 | Cox regression: Inference (continued) | 11-01 | Cox: Tied survival times; estimation of survival probability | R | 11-06 | Cox regression: Residuals and model checking | R | 11-08 | Exam II | 11-13 | Cox regression: Stratification | R | 11-15 | Quantifying predictive accuracy in Cox models | R | 11-20 | Thanksgiving | 11-22 | Thanksgiving | 11-27 | Time-dependent coefficients | R | 11-29 | Time-dependent covariates | R | 12-04 | Competing risks | R | 12-06 | Recurrent events and multistate models | R | 
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