STATA資料分析
Data analysis using Stata
| 節 | 週三 |
|---|---|
7 15:30–16:20 | STATA資料分析 YS415 2 節連堂 |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
‧ Introduction to Stata interface ‧ Dataset and data manipulation Reading raw data, creating and combining datasets Generating variables and grouping data, data formatting ‧ Statistical analysis Data distribution and descriptive statistics Hypothesis testing: categorical data, continuous data Regression analysis and techniques Meta-analysis ‧ Real world data analysis Designing and running data analysis Result interpretation and presentation Simple report writing
1. Understand the key principles of medical statistics 2. Introduce students to the main features of Stata and data analysis 3. Design and run statistical analyses independently using Stata
‧ Session assessment – 40% of final grade ‧ Final assessment – 60% of final grade
| 週次 | 主題 |
|---|---|
| 第 1 週 | |
| 第 2 週 | Introduction to Stata Practical: basic Stata commands, do files, log files |
| 第 3 週 | Descriptive statistics and graphs Practical: location, spread, histogram, bar chart |
| 第 4 週 | Distribution and choosing appropriate statistical tests Practical: t-test, confidence interval, chi-square test |
| 第 5 週 | Categorical data Practical: calculating risk ratios, odds ratio |
| 第 6 週 | |
| 第 7 週 | Logistic regression I Practical: regression analysis, logistic regression |
| 第 8 週 | 清明連假 |
| 第 9 週 | Logistic regression II Practical:advanced regression, confounding/interaction |
| 第 10 週 | Linear regression Practical: scatter plot, correlation, regression |
| 第 11 週 | Meta-analysis Practical: meta-analysis, forest plot, funnel plot |
| 第 12 週 | Module review Final assessment: data analysis and short report |
| 第 13 週 | |
| 第 14 週 | |
| 第 15 週 | |
| 第 16 週 | |
| 第 17 週 | |
| 第 18 週 |
張紹勳 - 生物醫學統計:使用Stata分析 (ISBN:9789571191416) Alan Acock:A gentle introduction to Stata, 6th edition(ISBN:9781597182690)