STATA資料分析
Data analysis using Stata
| 節 | 週三 |
|---|---|
7 15:30–16:20 | STATA資料分析 YS107（陽明） 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
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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
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Stata. Practical: basic Stata commands, do files, log files. |
| 第 2 週 | Descriptive statistics and graphs. Practical: location, spread, histogram, bar chart. |
| 第 3 週 | Distribution and choosing appropriate statistical tests. Practical: t-test, confidence interval, chi-square test. |
| 第 4 週 | Categorical data. Practical: calculating risk ratios, odds ratio. |
| 第 5 週 | Logistic regression I. Practical: regression analysis, logistic regression. |
| 第 6 週 | Logistic regression II. Practical:advanced regression, confounding/interaction |
| 第 7 週 | Linear regression. Practical: scatter plot, correlation, regression. |
| 第 8 週 | Meta-analysis. Practical: meta-analysis, forest plot, funnel plot. |
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| 第 12 週 | |
| 第 13 週 | |
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| 第 15 週 | |
| 第 16 週 | |
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| 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)
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