課程資訊

Survival Analysis

103-2

EPM7183

849 M0780

Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1032EPM7183_

The course provides a basic introduction to the statistical concepts and analytical methods for survival data. The content of this course comprises of introduction of the characteristics of survival data in clinical trials and observational studies, estimation of a survival curve, the comparison of survival curves, parametric regression models, and the Cox regression models

Let students understand the basic concepts and skills for analyzing survival data and their applications to clinical trials and observational studies.

Office Hours

1.Kleinbaum and Klein (2012) Survival Analysis-A Self-Learning Text,Third
Edition,Springer

http://tulips.ntu.edu.tw/search*cht/X?SEARCH=(Kleinbaum%20and%20Klein%20(2012)%
20Survival%20Analysis-A%20Self-Learning%20Text)

2. Collett, D (2003) Modelling Survival Data in Medical Research, 2nd
Edition , Chapman & Hall/CRC
3. Marubini, E, Valsecchi MG (1995) Analysing Survival Data from Clinical
Trials and Observational Studies. John Wiley and Sons
4. Kalbfleisch, JD and Prentice, RL (2002) The Statistical Analysis of
Failure Time Data, 2nd Edition , John Wiley and Sons

(僅供參考)

 No. 項目 百分比 說明 1. 期中開書考試 30% 2. 平時作業與討論 30% 3. 期末口頭與書面報告 40%

 課程進度
 週次 日期 單元主題 第1週 2/24 Introduction to Survival Analysis 第2週 3/03 Kaplan-Meier Survival Curves 第3週 3/10 Log-Rank Tests 第4週 3/17 The Cox Proportional Hazards Model 第5週 3/24 Statistical Inferences in Cox Proportional Hazards Models 第6週 3/31 The Stratified Cox Proportional Hazards Model 第7週 4/07 Evaluating the Proportional Hazards Assumption 第8週 4/14 Extension of the Cox Proportional Hazards Model:Time-Dependent Variables 第9週 4/21 Parametric Survival Models 第10週 4/28 Inference for Parametric Survival Models 第11週 5/05 Competing Risks Survival Analysis 第12週 5/12 Recurrent Event Survival Analysis 第13週 5/19 Special Topics in Survival Analysis 第14週 5/26 Report 第15週 6/02 In-class exam 第16週 6/09 Report 第17週 6/16 Report