| 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 |
Cox proportional hazards model and partial likelihood inference； |
| 第8週 |
Cox regression versus Weibull regression: an example with real-world data analysis |
| 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.
自主學習週（教學影片） |
自主學習
內容 |
03.製作專題報告
|