應用多變量與長期資料分析
Applied Multivariate and Longitudinal Data Analysis
| 節 | 週五 |
|---|---|
5 13:20–14:10 | 應用多變量與長期資料分析 YS221（陽明） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
This course focuses on applied multivariate extensions of generalized linear models (GLMs) with more complex data structure such as longitudinal (repeated) measures, matching, and hierarchical samples. Within the framework of GLMs, topics include design issues, marginal model with longitudinal data using both likelihood and generalized estimating equation (GEE) approaches, random effect and multilevel models, and conditional logistic regression with matched case-control sampling scheme. Multivariate methods such as principal component analysis, factor analyses will be introduced.
Prerequisite or concurrent : Basic knowledge in statistical modelling or consent of the instructor
無備註
Class materials and Computing: Class notes, references, and other teaching materials can be downloaded from e3 platform. Students are free to use any statistical software package to perform the data analysis projects. Learning guide for using SPSS (video), SAS and R codes will be provided on e3.
Class participation, Data analysis projects
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Holiday 2026-02-27(五) 時數：[2026-02-27]林逸芬(2.00) |
| 第 2 週 | Course introduction Studies with correlated data and multivariate data 2026-03-06(五) 時數：[2026-03-06]林逸芬(2.00) |
| 第 3 週 | Introduction to the family of generalized linear models - Linear, Logistic, Poisson, negative binomial, and Gamma models 2026-03-13(五) 時數：[2026-03-13]林逸芬(2.00) |
| 第 4 週 | Linear regression model with correlated measures – marginal models - Likelihood approach - Generalized estimating equation (GEE) (quasi-likelihood approach) 2026-03-20(五) 時數：[2026-03-20]林逸芬(2.00) |
| 第 5 週 | Linear regression model with correlated measures – random effect models - Linear mixed model and multi-level models (likelihood approach) 2026-03-27(五) 時數：[2026-03-27]林逸芬(2.00) |
| 第 6 週 | Holiday 2026-04-03(五) 時數：[2026-04-03]林逸芬(2.00) |
| 第 7 週 | Thinking breaks (1) – questions and sharing 2026-04-10(五) 時數：[2026-04-10]林逸芬(2.00) |
| 第 8 週 | Logistic regression with longitudinal data using GEE 2026-04-17(五) 時數：[2026-04-17]林逸芬(2.00) |
| 第 9 週 | Poisson log-linear model with longitudinal data using GEE 2026-04-24(五) 時數：[2026-04-24]林逸芬(2.00) |
| 第 10 週 | Holiday 2026-05-01(五) 時數：[2026-05-01]林逸芬(2.00) |
| 第 11 週 | More logistic regression models with complex sampling scheme 2026-05-08(五) 時數：[2026-05-08]林逸芬(2.00) |
| 第 12 週 | Thinking breaks (2) – questions and sharing 2026-05-15(五) 時數：[2026-05-15]林逸芬(2.00) |
| 第 13 週 | Principal component analysis 2026-05-22(五) 時數：[2026-05-22]林逸芬(2.00) |
| 第 14 週 | Factor Analysis 2026-05-29(五) 時數：[2026-05-29]林逸芬(2.00) |
| 第 15 週 | Thinking breaks (3) – questions and sharing 2026-06-05(五) 時數：[2026-06-05]林逸芬(2.00) |
| 第 16 週 | Final exam (take home) 2026-06-12(五) 時數：[2026-06-12]林逸芬(2.00) |
參考書目: Diggle, Heagerty, Liang, & Zeger. Analysis of longitudinal data 2nd ed. 2002 Oxford science publications. Hosmer & Lemoshew “Applied logistic regression” 3rd ed. Liang and Zeger. Regression analysis for correlated data. Annual Review of Public Health 1993. 14:43-68. McCullagh and Nelder. Generalized linear models. 2nd ed, 1989, Chapman and Hall. Rencher & Christensen. Methods of multivariate analysis. 3rd ed. (2012)
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