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| 上課日期起 Start Date |
上課日期迄 End Date |
上課時間起 Start Time |
上課時間迄 End Time |
時數 Duration Time(hr) |
教室／容量 Room/capacity |
授課教師 Teacher |
課程進度 progression |
備註 Note |
|---|---|---|---|---|---|---|---|---|
| 2024-02-23 | 2024-02-23 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Intro to biostatistics / Descriptive statistics | |
| 2024-03-01 | 2024-03-01 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Data visualization / Probability and distributions (I) | |
| 2024-03-08 | 2024-03-08 | 10:10:00 | 12:00:00 | 2 | 生科二館220電腦教室 | 施銘杰 | Probability and distributions (II), Disease measurement in epidemiology | |
| 2024-03-15 | 2024-03-15 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Inferential statistics: parameter estimation and hypothesis testing | |
| 2024-03-22 | 2024-03-22 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Inferential statistics: confidence intervals / Inference from one sample | |
| 2024-03-29 | 2024-03-29 | 10:10:00 | 12:00:00 | 2 | 生科二館220電腦教室 | 施銘杰 | Inference from two samples | |
| 2024-04-12 | 2024-04-12 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Simple linear regression, correlation and t-test | |
| 2024-04-19 | 2024-04-19 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Multiple linear regression and ANOVA | |
| 2024-04-26 | 2024-04-26 | 10:10:00 | 12:00:00 | 2 | 生科二館220電腦教室 | 施銘杰 | Interaction and non-linear regression | |
| 2024-05-03 | 2024-05-03 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Regression and causal inference | |
| 2024-05-10 | 2024-05-10 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Inferences from contingency tables | |
| 2024-05-17 | 2024-05-17 | 10:10:00 | 12:00:00 | 2 | 生科二館220電腦教室 | 施銘杰 | Logistic regression | |
| 2024-05-24 | 2024-05-24 | 10:10:00 | 12:00:00 | 2 | CII育成319/40 | 施銘杰 | Survival analysis | |
| 2024-05-31 | 2024-05-31 | 10:10:00 | 12:00:00 | 2 | 生科二館220電腦教室 | 施銘杰 | Regression methods for survival analysis | |
| 2024-06-07 | 2024-06-07 | 09:00:00 | 12:00:00 | 3 | CII育成319/40 | 施銘杰 | 科技應用(1H) / Final Exam(2H) |
本課程主要面向對統計方法分析生物醫學資料有興趣的大學部學生。課程前 半部將著重統計概念的建立，了解為何需要利用統計方法分析資料，以及推 論統計的邏輯基礎。後半部將介紹常用之統計檢定與回歸方法，並輔以因果 推論的理論框架介紹，讓學生了解針對有興趣的研究議題，如何選擇適當的 統計模型進行資料分析後，解讀分析結果並給出結論。課程並附有電腦實作 課，以供學生實地演練生物醫學資料之統計分析。
生物統計（Biostatistics）；描述性統計（Descriptive statistics）；推論性統計 （Inferential statistics）；假說檢定（Hypothesis testing）；區間估計（Interval estimation）；迴歸分析（Regression analysis）；因果推論（Causal inference）
This 2-credit course is designed for undergraduate students interested in analysis of biomedical data using statistical models. In the first part of the course, we will look into the theoretical foundation of statistics (with minimal formula derivation), and demonstrate how descriptive and inferential statistics can facilitate data summarization and evidence generation. In the second part of the course, we will introduce hypothesis tests and regression models commonly used in the biomedical literature. We will elaborate how to choose between the tests and models based on the question and data at hand, to interpret the analysis results and draw conclusions. We will also introduce the conceptual framework of causal inference and demonstrate how regression models can help us estimate the causal effect of interest. There will be several computer laboratory tutorials using SPSS to carry out the analyses described in the lectures. There are no pre-requisites for this course.
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本課程無涉及AI使用
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