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 |