課程名稱 |
流行病學與生物統計學 Biostatistics and Epidemiology |
開課學期 |
112-1 |
授課對象 |
公共衛生學院 公共衛生碩士學位學程 |
授課教師 |
曾翎威 |
課號 |
MPH7011 |
課程識別碼 |
847 M0290 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
必修 |
上課時間 |
星期二10,A,B(17:30~20:10) |
上課地點 |
公衛213 |
備註 |
MPH107級起核心必修課程。與王彥雯合授 限本系所學生(含輔系、雙修生) 總人數上限:40人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
This course aims to provide students with fundamental epidemiologic concepts and study design, which will further be articulated with a broad overview of basic biostatistical methods to be used in public health. Students will be trained to read scientific literature to critically evaluate study designs and methods of data analysis. Students are expected to develop the ability of using appropriate study design and epidemiology measurements in conjunction with quantitative approaches in evidence-based public health.
This is an asynchronous online learning course which contains three-hour online course, in the online system NTU COOL, and two- to six-hour in-class discussion (office hour) monthly.
For the epidemiology part, students will be introduced to key concepts and principles of epidemiology, including various study designs, bias, confounding, and effect modification. For the biostatistics part, this is a fundamental course of basic biostatistics. We will focus on the statistical methodology and data analysis. The course will start with descriptive statistics. Next, students will learn the concepts and definitions of probability and distributions, as well as applications in statistics and in real world. Then, statistical inferences including estimation and hypothesis testing will be introduced. In the office hour, students can ask questions and clarify concepts of online video, and they will learn how to perform statistical analysis through R/EXCEL. |
課程目標 |
The objective of this course is to equip the students of MPH with knowledge and theory of biostatistics and epidemiology. After taking this course, students will be able to understand and apply key concepts of epidemiology in research to critically appraise epidemiological evidence. Furthermore, they will learn the basic statistics concepts and perform statistical analysis through R/EXCEL correctly. |
課程要求 |
The textbooks and reference books are listed below. The teaching materials including the tutorial and references are available from the course website. The students are expected to attend the office hours. Evaluation includes the examinations and regular exercise. |
預期每週課後學習時數 |
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Office Hours |
備註: Epidemiology office hour: Week 3, 5, 7 (10, A, B) |
指定閱讀 |
1. David D Celentano and Moyses Szklo (2020). Gordis Epidemiology. 6th Edition, Elsevier Saunders.
2. Marcello Pagano, Kimberlee Gauvreau and Heather Mattie (2022). Principles of Biostatistics. 3rd edition, 滄海圖書. |
參考書目 |
Teachers' handouts |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Online course and class participation |
20% |
Students will watch two-hour video per week. Record of browsing history in NTU COOL will be considered for grading. Students are required to attend the face-to-face office hours and to participate in the in-class discussions to critically appraise epidemiological evidence and practice data analysis through EXCEL. The performance of each student will be assessed by the instructors.
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2. |
Online course and class participation |
20% |
Students will watch two-hour video per week. Record of browsing history in NTU COOL will be considered for grading. Students are required to attend the face-to-face office hours and to participate in the in-class discussions to critically appraise epidemiological evidence and practice data analysis through EXCEL. The performance of each student will be assessed by the instructors.
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3. |
Homework |
20% |
After class, students will need to do homework/quiz to ensure they understand the contents of online course. |
4. |
Mid-term exam |
30% |
Students are required to attend a two-hour mid-term exam.
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5. |
Homework |
20% |
After class, students will need to do homework/quiz to ensure they understand the contents of online course. |
6. |
Final exam |
30% |
Students are required to attend a two-hour final exam. |
7. |
Mid-term exam |
30% |
Students are required to attend a two-hour mid-term exam.
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8. |
Final exam |
30% |
Students are required to attend a two-hour final exam. |
9. |
Online course and class participation |
20% |
Students will watch two-hour video per week. Record of browsing history in NTU COOL will be considered for grading. Students are required to attend the face-to-face office hours and to participate in the in-class discussions to critically appraise epidemiological evidence and practice data analysis through EXCEL. The performance of each student will be assessed by the instructors.
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10. |
Homework |
20% |
After class, students will need to do homework/quiz to ensure they understand the contents of online course. |
11. |
Mid-term exam |
30% |
Students are required to attend a two-hour mid-term exam.
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12. |
Final exam |
30% |
Students are required to attend a two-hour final exam. |
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週次 |
日期 |
單元主題 |
第1週 |
9/5 |
Introduction to epidemiology
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第1週 |
9/5 |
Introduction to epidemiology
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第1週 |
9/5 |
Introduction to epidemiology
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第2週 |
9/12 |
Measuring disease occurrence - morbidity and mortality
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第2週 |
9/12 |
Measuring disease occurrence - morbidity and mortality
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第2週 |
9/12 |
Measuring disease occurrence - morbidity and mortality
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第3週 |
9/19 |
Introduction to descriptive and analytical studies & cross-sectional studies & measures of association |
第3週 |
9/19 |
Introduction to descriptive and analytical studies & cross-sectional studies & measures of association |
第3週 |
9/19 |
Introduction to descriptive and analytical studies & cross-sectional studies & measures of association |
第4週 |
9/26 |
Cohort studies and case-control studies |
第4週 |
9/26 |
Cohort studies and case-control studies |
第4週 |
9/26 |
Cohort studies and case-control studies |
第5週 |
10/3 |
Confounding, bias, and effect modification |
第5週 |
10/3 |
Confounding, bias, and effect modification |
第5週 |
10/3 |
Confounding, bias, and effect modification |
第6週 |
10/10 |
Randomized controlled trial |
第6週 |
10/10 |
Randomized controlled trial |
第6週 |
10/10 |
Randomized controlled trial |
第7週 |
10/17 |
Diagnostics and screening tests |
第7週 |
10/17 |
Diagnostics and screening tests |
第7週 |
10/17 |
Diagnostics and screening tests |
第8週 |
10/24 |
Mid-term exam |
第8週 |
10/24 |
Mid-term exam |
第8週 |
10/24 |
Mid-term exam |
第9週 |
10/31 |
Introduction to biostatistics & descriptive statistics |
第9週 |
10/31 |
Introduction to biostatistics & descriptive statistics |
第9週 |
10/31 |
Introduction to biostatistics & descriptive statistics |
第10週 |
11/7 |
Sampling distribution of sample mean and confidence interval |
第10週 |
11/7 |
Sampling distribution of sample mean and confidence interval |
第10週 |
11/7 |
Sampling distribution of sample mean and confidence interval |
第11週 |
11/14 |
Hypothesis testing (significant level, p-value, errors, power, sample size calculation) |
第11週 |
11/14 |
Hypothesis testing (significant level, p-value, errors, power, sample size calculation) |
第11週 |
11/14 |
Hypothesis testing (significant level, p-value, errors, power, sample size calculation) |
第12週 |
11/21 |
Hypothesis testing (one-sample, paired data, two-sample, multiple samples) |
第12週 |
11/21 |
Hypothesis testing (one-sample, paired data, two-sample, multiple samples) |
第12週 |
11/21 |
Hypothesis testing (one-sample, paired data, two-sample, multiple samples) |
第13週 |
11/28 |
Categorical data analysis
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第13週 |
11/28 |
Categorical data analysis
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第13週 |
11/28 |
Categorical data analysis
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第14週 |
12/5 |
Correlation analysis
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第14週 |
12/5 |
Correlation analysis
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第14週 |
12/5 |
Correlation analysis
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第15週 |
12/12 |
Regression analysis |
第15週 |
12/12 |
Regression analysis |
第15週 |
12/12 |
Regression analysis |
第16週 |
12/19 |
Final exam |
第16週 |
12/19 |
Final exam |
第16週 |
12/19 |
Final exam |
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