週次 |
授課內容 |
第1週 |
Introduction to Event-History Data Analysis |
第2週 |
Parametric models |
第3週 |
Counting process and martingale theory |
第4週 |
Kaplan-Meier estimation and several other methods for estimating the survivor function |
第5週 |
Nonparametric two-sample tests;
Log rank and weighted logrank tests.
|
第6週 |
Students’ presentation for data analysis.
|
第7週 |
校慶及運動會補假:4/1-4/3 |
第8週 |
Cox proportional hazards model and partial likelihood inference;
Weibull regression |
第9週 |
Cox model with cure fraction (or nonsusceptibility);
Applications of Cox model |
第10週 |
Stratified proportional hazards (SPH) model;
nested case-control study |
第11週 |
Recurrent event models;
Regression diagnostics |
第12週 |
Students’ presentation for data analysis. |
第13週 |
A Review of the Cox model,its validation and some variants,Additive risk model. |
第14週 |
Analysis of Competing Risks;
(18) Joint Modeling for survival data with repeated measurements |
第15週 |
Statistical Inference for Heteroscedastic Survival Models |
第16週 |
Students’ presentation for data analysis. |
第17週 |
自主學習週(教學影片)
|
第18週 |
自主學習週(教學影片) |