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研讨会内容
| 研讨会名称 | [生统中心教育训练]在医學及公共卫生研究领域之纵贯性分析 |
|---|---|
| 开始日期 | 2018-06-07 13:30:00 |
| 结束日期 | 2018-06-08 17:00:00 |
| 活动说明 | 课程名称：Applied longitudinal analysis in medical and public health research 课程时间： 2018/06/07（四） 13:30~17:00 2018/06/08（五） 13:30~17:00 课程地点：台北医學大學大安校区B201会议室 台北市大安区基隆路二段172-1号B2楼 讲师：许纬文副教授 Assistant Professor, Department of Statistics, Kansas State University 课程大纲：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. 注意事项： 1.请自行携带笔电，并安装SAS及R软件 2.课程详情可下载附件连结 |
| 主要联絡Mail | silvia@tmu.edu.tw |
| 参考连结 | |
| 附件档案 | TMU_workshop_HSU  |
