長期追蹤資料分析
Longitudinal Data Analysis
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5 13:20–14:10 | 長期追蹤資料分析 A406 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
Longitudinal data consist of multiple measures over time on an individual. This type of data occurs extensively in both observational and experimental biomedical studies, as well as in studies in sociology and applied economics. This course will provide an introduction to the principals and methods for the analysis of longitudinal data. While some theoretical statistical detail is given (at the level of appropriate for a Master's student in Statistics), the primary focus will be on data analysis and interpretation. The objects of his course are: . To identify features of longitudinal data and explain the roles of longitudinal data in studying real data phenomenon. . To use a generalized linear model to make inferences about the relationship between responses and explanatory variables while accounting for the correlation among repeated responses for an individual. . To use marginal, random effects, or transition models for longitudinal data when the repeated observations are binary, count, or Gaussian/non-Gaussian continuous. . To familiarize the usage of statistical software implementing these longitudinal data analytic methodologies. . To provide references for your future research.
Students are expected to have background on undergraduate probability, and mathematical statistics. Some knowledge on (generalized) linear regression will be helpful.
Course web page: https://ghuang.stat.nycu.edu.tw/course/lda24/
The course grade will be based on 4 homework assignments (50%), 1 midterm exam (20%), and 1 final exam (30%).
- Introduction and examples of longitudinal data
- Exploring longitudinal data
- Linear modes for longitudinal data
- Linear mixed models for longitudinal data
- GLM for longitudinal data
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Handouts corresponding to each lecture will be available on the class website before each class. Reading assignments are from the following book: . Diggle PJ, Heagerty P, Liang KY and Zeger SL (2002). Analysis of Longitudinal Data, 2nd edition. Oxford University Press. (ALD)
- 地點
- A423 Joint Education Hall (my office)
- 時間
- By appointment
- 聯絡方式
- Email: ghuang@nycu.edu.tw