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研討會內容
| 研討會名稱 | [生統中心教育訓練]在醫學及公共衛生研究領域之縱貫性分析 |
|---|---|
| 開始日期 | 2018-06-07 13:30:00 |
| 結束日期 | 2018-06-08 17:00:00 |
| 活動說明 | 課程名稱：Applied longitudinal analysis in medical and public health research 課程時間： 2018/06/07（四） 13:30~17:00 2018/06/08（五） 13:30~17:00 課程地點：台北醫學大學大安校區B201會議室 台北市大安區基隆路二段172-1號B2樓 講師：許緯文副教授 Assistant Professor, Department of Statistics, Kansas State University 課程大綱：In modern medical research, the outcome or response variable is often measured on a subject/patient repeatedly over time. The data generated from such study are so-called longitudinal data （or correlated data）. As a result, there exists certain correlation among these repeated measures and this correlation should be taken into account while performing the data analysis. Ignoring such correlation, the statistical inferences about the population could be invalid and unreliable. In this short course, we will start with the design of classical longitudinal study and then introduce the mixed effects model - a powerful model to deal with the longitudinal or correlated data. With multidisciplinary applications as examples, we will discuss how to perform the mixed effects models with regular statistical software such as SAS or R. Further, we will address some common issues that are often faced in real longitudinal data analysis. Last but not the least, the power analysis and sample size calculation for a longitudinal study is often an important component in grant proposals before the research project is actually proceeded. We will go through these topics with practical examples and all participants are expected to run the longitudinal data analysis themselves with given datasets during the class. 注意事項： 1.請自行攜帶筆電，並安裝SAS及R軟體 2.課程詳情可下載附件連結 |
| 主要聯絡Mail | silvia@tmu.edu.tw |
| 參考連結 | |
| 附件檔案 | TMU_workshop_HSU  |
