|
課程名稱 |
進階存活與縱貫性資料分析
Advanced Statistical Methods for Lifetime Data and Longitudinal Data |
|
開課學期 |
110-1 |
|
授課對象 |
學程 生物統計學程 |
|
授課教師 |
張淑惠 |
|
課號 |
EPM8004 |
|
課程識別碼 |
849 D0410 |
|
班次 |
|
|
學分 |
3.0 |
|
全/半年 |
半年 |
|
必/選修 |
選修 |
|
上課時間 |
星期三6,7,8(13:20~16:20) |
|
上課地點 |
公衛215 |
|
備註 |
限碩士班以上。建議具存活分析與數理統計相關基礎之同學選修,非授課對象需經授課教師同意
限碩士班以上
總人數上限：15人 |
|
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1101EPM8004_ |
|
課程簡介影片 |
|
|
核心能力關聯 |
核心能力與課程規劃關聯圖 |
|
課程大綱
|
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
|
課程概述 |
This course introduces advanced topics in statistical methods for correlated survival data and longitudinal data with literature review and discussion to learn the development of statistical methodologies and applications of the related data in clinical medicine and epidemiology area. This is an advanced statistical methodology course that provides more specialized statistical methods for students who have already studied survival analysis and mathematical statistics or related courses.
|
|
課程目標 |
This is an advanced statistical methodology course that provides more specialized statistical methods of survival and longitudinal data for graduate students who have already studied survival analysis and mathematical statistics or related courses.
|
|
課程要求 |
Survival analysis and mathematical statistics or related courses are prerequisites.
|
|
預期每週課後學習時數 |
|
|
Office Hours |
|
|
指定閱讀 |
Martinussen and Scheike (2006), Dynamic Regression Models for Survival Data, Springer |
|
參考書目 |
1. Martinussen and Scheike (2006), Dynamic Regression Models for Survival Data,
Springer
2. Kalbfleisch and Prentice (2002), The Statistical Analysis of Failure Time
Data, 2nd Ed., John Wiley and Sons
3. Cook and Lawless (2007), The Statistical Analysis of Recurrent Events, Springer
4. McCullagh and Nelder (1989) Generalized Linear Model, 2nd Ed., Chapman and
Hall/CRC
5. Hardin and Hilbe (2012) Generalized Estimating Equations, 2nd Ed., Chapman
and Hall/CRC
6. Diggle, Heagerty, Liang and Zeger (2002) Analysis of Longitudinal Data, 2nd
Ed, Oxford University Press
7. Casella and Berger (2002) Statistical Inference, 2nd Ed., Duxbury.
|
|
評量方式
(僅供參考) |
|
No. |
項目 |
百分比 |
說明 |
|
1. |
報告 |
25% |
Oral and written reports |
2. |
作業及平時表現 |
15% |
Homework and in-class participation including literature reading and discussion |
3. |
考試 |
60% |
Two in-class open-book exams |
|
|
週次 |
日期 |
單元主題 |
|
第01週 |
09/22 |
Introduction: data structure
【第一周上課連結：https://ntucc.webex.com/ntucc/j.php?MTID=m1d7bc0c2d8d81cc6e8d8feec25b0cda0】
【請欲加選及選上同學在上課時間使用以上連結進入課程】 |
|
第02週 |
09/29 |
Introduction: probability background
【Webex 連結：https://ntucc.webex.com/ntucc/j.php?MTID=m48dda0be8eb4fdccd353ae9cd8d8e4ed】 |
|
第03週 |
10/06 |
Nonparametric procedures for counting processes
【Webex 連結：https://ntucc.webex.com/ntucc/j.php?MTID=m02c5cbb7e1dc0eb3df6d09e2d20306cf】 |
|
第04週 |
10/13 |
Likelihood construction for filtered counting process data |
|
第05週 |
10/20 |
Multiplicative hazards models |
|
第06週 |
10/27 |
Inferences for multiplicative hazards models |
|
第07週 |
11/03 |
Exam (1) |
|
第08週 |
11/10 |
Additive hazards models |
|
第09週 |
11/17 |
Inferences for additive hazards models |
|
第10週 |
11/24 |
Multiplicative-additive hazards models |
|
第11週 |
12/01 |
Modeling and analysis of recurrent event data |
|
第12週 |
12/08 |
Marked point process models |
|
第13週 |
12/15 |
Generalized linear models for longitudinal data |
|
第14週 |
12/22 |
Exam (2) |
|
第15週 |
12/29 |
Literature reading/Oral reports (1) |
|
第16週 |
2022/01/05 |
Oral reports (2)/Final reports |
|