生物統計模式與資料分析
Biostatistical modelling and data analysis
| 節 | 週二 |
|---|---|
7 15:30–16:20 | 生物統計模式與資料分析 YS405（陽明） 2 節連堂 |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
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This course will focus on practice in commonly used statistical methods in health science research. First, we will review basic concepts of statistical inference and methods for comparing means and proportions which are covered in Introductory Biostatistics. Topics in this course include multiple linear regression, logistic regression, survival analysis such as Kaplan-Meier survival curve estimation and Cox proportional hazard models, and GEE models for longitudinal data. Students are expected to be able to understand the statistical analysis in literature and to analyze and interpret real data using statistical software packages after taking this course.
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| 週次 | 主題 |
|---|---|
| 第 1 週 | 1. Introduction 2. Review of basic statistics and data analysis for association between two variables |
| 第 2 週 | Multiple Linear regression models (1) |
| 第 3 週 | Multiple Linear regression models (2) |
| 第 4 週 | 1. Data analysis and Lab session: Multiple linear regression models 2. In-class exercise 3. Assign linear regression HW |
| 第 5 週 | 1. Quiz for “Linear regression models” 2. Discussion of the HW of the multiple Linear regression models |
| 第 6 週 | Logistic regression models (1) |
| 第 7 週 | Logistic regression models (2) |
| 第 8 週 | 1. Logistic regression models (3) 2. Supplementary materials 3. Assign HW of logistic regression |
| 第 9 週 | 1. Data analysis and Lab time: Logistic regression models 2. In-class exercise |
| 第 10 週 | 1. Quiz for “Logistic regression models” 2. Survival data analysis (1): data structure and censoring mechanisms |
| 第 11 週 | Survival data analysis (2): Kaplan-Meier survival curves and log-rank test |
| 第 12 週 | Discussion of the HW of logistic regression analysis 2. Survival data analysis (3): Cox proportional hazard models |
| 第 13 週 | 1. Discussion of the HW of logistic regression analysis 2. Survival data analysis (3): Cox proportional hazard models |
| 第 14 週 | 1. Data analysis and Lab time: Survival analysis 2. In-class exercise 3. Assign survival analysis HW |
| 第 15 週 | Competing risks data analysis |
| 第 16 週 | Discussion of the HW of survival analysis |
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