生物統計學
Biostatistics
| 節 | 週五 |
|---|---|
5 13:20–14:10 | 生物統計學 YX503（陽明） 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
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1. 了解統計的基本概念、常用的統方法與如何正確使用統計。 2. 能以正確的表達統計問題及執行統計分析並解釋分析結果 1. Understand the basic concepts and know how to use appropriate methods to analyze data 2. Know how to conduct the analysis and interpret the analysis results
作業 30% 課堂小考 40% 期中、末考 30%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | 1. Introduction: population vs sample 2. Data characteristics and coding 3. SPSS 2022/02/18 |
| 第 2 週 | Descriptive statistics 1. mean, standard deviation 2. median, Q1, Q3 3. coefficient of variation 4. Using SPSS 2022/02/25 |
| 第 3 週 | Commonly used distributions: 1. Normal and Bernoulli distributions 2. Excel 3. Sampling distribution of sample mean (for continuous data) Binomial distribution (for binary data) 2022/03/04 |
| 第 4 週 | 1. Law of large number (LLN) 2. Central limit theorem 2022/03/11 |
| 第 5 週 | Point estimation for the population mean (I) 1. Point estimation and interval estimation 2. One sample inference: mean 3. t-distribution 2022/03/18 |
| 第 6 週 | Point estimation (II) Two independent samples: difference in means and proportions 2022/03/25 |
| 第 7 週 | Point estimation for the population proportion (III): 1. One sample: proportion 2. Two independent samples: difference in proportions 2022/04/01 |
| 第 8 週 | Testing (I) 1. Null hypothesis and alternative hypothesis 2. Significant level P-value, Critical region and critical value 2022/04/08 |
| 第 9 週 | Testing (II): 1. Procedure of conducting testing 2. Type I error and Type error 3. One-sample t-test 4. Two-sample t-test 5. pair t-test 2022/04/15 |
| 第 10 週 | Testing (III): 1. testing vs confidence interval 2. ANOVA 2022/04/22 |
| 第 11 週 | Mid-term exam 2022/04/29 |
| 第 12 週 | 1. Chi-square test 2. McNemar''s test 3. ROC curve 2022/05/06 |
| 第 13 週 | Linear regression analysis for continuous outcomes 1. linear association: Pearson''s correlation vs Spearman''a rank correlation 2. Multiple regression model-(1) 2022/05/13 |
| 第 14 週 | 1. Multiple regression model-(2) 2. R-square 3. Dummy variables and the interpretation 2022/05/20 |
| 第 15 週 | Regression model for the binary outcomes 1. Confounding variables 2. Odds ratio 3. Logistic regression model 2022/05/27 |
| 第 16 週 | Dragon Boat Festival 2022/06/03 |
| 第 17 週 | Survival analysis (I) 2022/06/10 |
| 第 18 週 | Survival analysis (II) 2022/06/17 |
Textbook: Biostatistics, basic concepts and methodology for the health sciences, 10th edition. Daniel and Cross, 2014, Wiley. Reference ‧ 生物統計原理 第2板 Principle of Biostatistics, 2nd ed. 原著Pagano et la., 翻譯:林維森等 歐亞書局 生物醫學統計概論,戴政與江淑瓊著
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