課程資訊

Application and Analysis in Biostatistics - R

106-1

EPM5016

849 U0440

1.0

Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1061EPM5016_R

The R environment, descriptive statistics, plotting, statistical testing, contingency tables, and linear regression will be introduced in this course. Students will have the opportunity to analyze real data with R.

Students are expected to be able to perform data analysis using R, and to explain the results appropriately.

Class participation and homework.

Office Hours

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.

Maindonald J. H. (2008). Using R for Data Analysis and Graphics - Introduction, Code and Commentary.

(僅供參考)

 No. 項目 百分比 說明 1. 作業 60% 2. 課堂參與及表現 40% 每次上課皆須簽到與簽退。自帶筆電同學亦屬正式修課同學，亦須簽到與簽退。因仍有欲修課同學無法選上，故本門課無法開放旁聽。 學生請假超過授課時數四分之一者，降學期成績二等第。請假達三分之一者，成績給予不及格 (F)。未經准假而缺課者，以曠課論。曠課一小時，以請假五小時論。

 課程進度
 週次 日期 單元主題 第1週 08/05 R的概觀 An overview of R; R的物件 R objects; R的迴圈 R looping; R的資料結構 Data structure in R; 描述性統計學 Descriptive statistics; R的函數 Functions in R; R的繪圖 Plotting in R. (林菀俞老師) 第2週 08/06 兩組獨立樣本的平均值比較 Comparing the means of two independent samples; 配對樣本的平均值比較 Comparing the means of paired samples; 變異數分析 Analysis of variance; 多重檢定校正 Multiple testing correction; 簡單線性迴歸 Simple linear regression; 複迴歸 Multiple regression. (林菀俞老師) 第3週 08/12 無母數統計 Nonparametric statistics; 矩陣運算 Matrix operations; 列聯表分析 Analysis for contingency tables; 麥氏檢定 McNemar’s test; 簡單線性迴歸 Simple linear regression; 複迴歸 Multiple regression; 羅吉斯迴歸 Logistic regression; 卜瓦松迴歸 Poisson regression. (林菀俞老師) 第4週 08/13 迴歸建模預測---以microarray data為例 Prediction based on regression models --- illustrated with microarray data analysis (盧子彬老師)