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 |