基礎統計學與Stata
Introduction to biostatistics and Stata
| 節 | 週三 |
|---|---|
9 17:30–18:20 | 基礎統計學與Stata YS405 |
* 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 | 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. |
| 第 9 週 | Introduction to final assessment |
| 第 10 週 | |
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| 第 12 週 | |
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| 第 14 週 | |
| 第 15 週 | |
| 第 16 週 |
張紹勳 - 生物醫學統計：使用Stata分析 (ISBN：9789571191416) Alan Acock:A gentle introduction to Stata, Revised 6th edition (ISBN: 978-1-59718-367-3)