Date	Subject	Code
8-27	Introduction; Nature of time-to-event data
8-29	Hazard functions and other functions of survival time	R
9-03	Likelihood construction	R
9-05	Censoring mechanisms	R
9-10	The Kaplan-Meier estimator	R
9-12	Inference for KM estimator	R
9-17	Log-rank test	R
9-19	Stratification	R
9-24	Power and sample size calculations	R
9-26	Likelihood-based inference: Single parameter	R
10-01	Likelihood-based inference: Multiple parameters	R
10-03	Proportional hazards models	R
10-08	The Weibull distribution	R
10-10	Exam I
10-15	Accelerated failure time models	R
10-17	Accelerated failure time models (continued)
10-22	Semiparametric regression	R
10-24	Bayesian approaches to survival modeling	R   jag
10-29	Cox regression: Estimation	R
10-31	Cox regression: Inference	R
11-05	Cox: Tied survival times; estimation of survival probability	R
11-07	Cox regression: Residuals and model checking
11-12	Cox regression: Residuals and model checking (continued)	R
11-14	Exam II
11-19	Cox regression: Stratification	R
11-21	Quantifying predictive accuracy in Cox models	R
11-26	Thanksgiving
11-28	Thanksgiving
12-03	Time-dependent coefficients	R
12-05	Time-dependent covariates	R
12-10	Competing risks	R
12-12	Recurrent events and multistate models	R