生物統計學
Biostatistics
學期
106-1
學分
2
學分
當期課號
A850
永久課號
A1290
開課單位
醫學院
授課教師
林逸芬
校區
陽明
類別
選修
上課時間表
| 節 | 週四 |
|---|---|
3 10:10–11:00 | 生物統計學 YM225 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Producing Data: Experimental vs. Observational study design Summarizing data with numbers and graphs (1) |
| 第 3 週 | Summarizing data with numbers and graphs (2) Using statistical software packages (1): Summarizing data |
| 第 4 週 | Case studies (1) |
| 第 5 週 | Probability distribution I: Normal distribution Concepts of estimation and hypothesis testing I - Sampling distribution - One-sample inference of mean: Confidence intervals |
| 第 6 週 | Concepts of estimation and hypothesis testing II - One-sample inference of mean: Hypothesis testing, p value - Type I/II error, Power, and sample size |
| 第 7 週 | Comparing means - Paired-t test - Two-sample t test Using statistical software packages (2):comparing means |
| 第 8 週 | Case studies (2) |
| 第 9 週 | Probability distribution II: Binomial distribution One-sample inference of proportion and rate |
| 第 10 週 | Inference of proportions for two independent samples (large samples) - Normal theory method (Z test) - Contingency table analysis: two by two table Using statistical software packages (3):comparing proportions |
| 第 11 週 | Contingency table analysis: two dependent samples, RxC tables |
| 第 12 週 | One-way Analysis of Variance (ANOVA) |
| 第 13 週 | Linear regression I: Correlation and simple linear regression |
| 第 14 週 | inear regression II: multiple linear regression models - The models and parameter interpretations - Multiple linear regression models with categorical predictors Using statistical software packages (4):Linear regression |
| 第 15 週 | Case studies (3) |
| 第 16 週 | Understanding literature (1) - Non-parametric methods in comparing groups - Logistic regression models - Survival data analysis |
| 第 17 週 | Understanding literature (2) - Correlated data analysis - Matching design and longitudinal data |
| 第 18 週 | Final Exam |