課程資訊
課程名稱
流行病學與生物統計計算
Computing in Epidemiology and Biostatistics 
開課學期
110-1 
授課對象
共同教育中心  統計碩士學位學程  
授課教師
林菀俞 
課號
EPM5002 
課程識別碼
849EU0310 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
 
上課地點
 
備註
本課程以英語授課。非同步遠距教學課程。Office Hour 一67,教室:公衛214。生醫與生統領域選修課程之一 與李文宗合授
限學士班三年級以上
總人數上限:60人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1101EPM5002_Comp 
課程簡介影片
 
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課程概述

/*** This is a non-synchronous online course taught in English. ***/

Course: Video will be uploaded to NTU COOL in every Thursday afternoon (starting from Sep 23).

Office Hour: Should you have any question, you may mail your “NTU e-mail address” to TA ( r09849008@ntu.edu.tw ) and log on Microsoft Teams in every Monday 2 pm – 3 pm, and get advice from TA (starting from Sep 27).

If you are considering to take the course [Computing in Epidemiology and Biostatistics], please provide your “NTU e-mail address” to r09849008@ntu.edu.tw . We will open a temporary account (valid through Oct. 7) for you to access the course video. To be formally enrolled in this course, you still need to apply from the school system.


In most Biostatistics courses, lecturers usually introduce theoretical models, and then use statistical software (such as SAS and R) to analyze the data. However, there is a black box between these two parts. To fill in this gap, we will teach the numerical computation process involved in statistical models. Students will learn matrix operations, numerical analyses, Monte-Carlo simulations, etc. We will teach how to construct a log-likelihood function according to a statistical distribution, how to obtain maximum likelihood estimates for a logistic regression and a Poisson regression, how to build exact confidence intervals, and how to design Monte-Carlo simulations for a research topic, etc. 

課程目標
/*** This is a non-synchronous online course taught in English. ***/

Course: Video will be uploaded to NTU COOL in every Thursday afternoon (starting from Sep 23).

Office Hour: Should you have any question, you may mail your “NTU e-mail address” to TA ( r09849008@ntu.edu.tw ) and log on Microsoft Teams in every Monday 2 pm – 3 pm, and get advice from TA (starting from Sep 27).

If you are considering to take the course [Computing in Epidemiology and Biostatistics], please provide your “NTU e-mail address” to r09849008@ntu.edu.tw . We will open a temporary account (valid through Oct. 7) for you to access the course video. To be formally enrolled in this course, you still need to apply from the school system.


This course aims at inspiring students’ interests in numerical computation regarding epidemiology and biostatistics, and cultivating students’ critical thinking and logics in programming. This course is expected to facilitate students’ research in biostatistics, epidemiology, or quantitative related fields. It will also build students’ deeper understanding of quantitative epidemiology and biostatistics. 
課程要求
/*** This is a non-synchronous online course taught in English. ***/ Prerequisite course: at least one biostatistics (or statistics) or epidemiology course. 
預期每週課後學習時數
 
Office Hours
每週一 14:00~15:00 備註: Every Monday, 2:00-3:00 pm, online discussion 
指定閱讀
Teachers' handouts 
參考書目
1. Owen Jones, Robert Maillardet, and Andrew Robinson (2009). “Introduction to scientific programming and simulation using R”. Chapman & Hall/CRC.
2. Marcello Pagano and Kimberlee Gauvreau (2000). “Principles of Biostatistics”. 2nd edition. Duxbury Press.
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Assignments and homework 
60% 
 
2. 
Midterm exam 
20% 
 
3. 
Final exam 
20% 
 
 
課程進度
週次
日期
單元主題
第1週
9/23  Install and start R (Associate Professor Wan-Yu Lin) 
第2週
9/30  Programming with functions (Associate Professor Wan-Yu Lin) 
第3週
10/7  R objects and programming logics (Associate Professor Wan-Yu Lin) 
第4週
10/14  R looping (Associate Professor Wan-Yu Lin) 
第5週
10/21  Input, output, and plotting with R (Associate Professor Wan-Yu Lin) 
第6週
10/28  Introduction to matrix algebra (Professor Wen-Chung Lee) 
第7週
11/4  Matrix operations and linear algebra (Professor Wen-Chung Lee) 
第8週
11/11  Matrix algebra in statistics (Professor Wen-Chung Lee) 
第9週
11/18  The clever “apply” family, recursive programming, commands for matrix operations (Associate Professor Wan-Yu Lin) 
第10週
11/25  Find the root for a function; exact confidence intervals (Associate Professor Wan-Yu Lin) 
第11週
12/2  Construction of a log-likelihood function (Associate Professor Wan-Yu Lin) 
第12週
12/9  Find the maximum likelihood estimates for a logistic regression (Associate Professor Wan-Yu Lin) 
第13週
12/16  Find the maximum likelihood estimates for a Poisson regression (Associate Professor Wan-Yu Lin) 
第14週
12/23  Modern statistical computing in R: Monte-Carlo simulations (Interval estimates) (Associate Professor Wan-Yu Lin) 
第15週
12/30  Modern statistical computing in R: Monte-Carlo simulations (Point estimates) (Associate Professor Wan-Yu Lin) 
第16週
2022/01/06  Modern statistical computing in R: Monte-Carlo simulations (Type I error rates and power) (Associate Professor Wan-Yu Lin)