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Epidemiology Special Lecture

Latest update on: 24th January 2020

1. Overview

To learn epidemiology, an excellent textbook is used (shown below). Technical terms are explained in both English and Japanese, since knowing Japanese terms is needed to read epidemiological research papers in Japanese and reports from MHLW.

Basically each chapter is assigned for one of the participants. The assigned student must prepare handouts and distribute them, and explain it in English. Other participants also should read the chapter in advance. Additional information is also given, if any. After that, open discussion will be done among all participants. Questions in the end of each chapter will be solved, if there is enough time.

2. Plan

The lecture is done in the second semester on Thursday, 13:10-14:40 (3rd time block) at GSICS 206.

• ( 1) Orientation and Assignment (with introducing preface and contents), Chap. 1. Introduction to Epidemiologic Thinking: Oct. 3 (Notes on technical terms in Japanese for Chapters 1 and 2
• ( 2) Chap. 2. Pioneers in Epidemiology and Public Health: Oct. 10
• ( 3) Chap. 3. What Is Causation?: Oct. 17
• ( 4) Chap. 4. Measuring Disease Occurrence and Causal Effects (pp.38-56): Oct. 24
• ( 5) Chap. 4. Measuring Disease Occurrence and Causal Effects (pp.57-68): Oct. 31 (handout)
• ( 6) Chap. 5. Types of Epidemiologic Studies (pp.69-87): Nov. 7 (handout)
• ( 7) Chap. 5. Types of Epidemiologic Studies (pp.87-109): Nov. 14 (handout, typo corrected)
• ( 8) Chap. 6. Infectious Disease Epidemiology: Nov. 21 (handout, Reed-Frost projection code in R, Reed-Frost projection result)
• ( 9) Chap. 7. Dealing with Biases: Nov. 28 (handout)
• (10) Chap. 8. Random Error and the Role of Statistics: Dec. 5 (handout, R code for Chapter 8 tables and figures)
• (11) Chap. 9. Analyzing Simple Epidemiologic Data: Dec. 12 (handout, R code for Chapter 9)
• (12) Chap. 10. Controlling Confounding by Stratifying Data: Dec. 19 (handout, R code for Chapter 10)
• (13) Chap. 11. Measuring Interactions: Jan. 9 (handout, R code for Chapter 11)
• (14) Chap. 12. Using Regression Models in Epidemiologic Analysis (handout, R code for chapter 12): Jan. 16
• (15) Chap. 13. Epidemiology in Clinical Settings (handout): Jan. 23

3. Evaluation

Based on handout, presentation and discussion.

4. Textbook

Kenneth J. Rothman (2012) Epidemiology: An Introduction, 2nd Ed., Oxford University Press, Oxford. (Companion site: Possible answers to chapter questions are submitted by the readers)

4-1. Further Readings

Rothman KJ, Greenland S, Lash TL (2012) Modern Epidemiology, 3rd Ed., LWW.

Westreich D (2019) Epidemiology by Design: A Causal Approaches to Health Sciences. Oxford Univ. Press

Horney JA [Ed.] (2017) Disaster Epidemiology: Methods and Applications. Academic Press

Krickeberg K, Van Trong P, Thi My Hanh P (2019) Epidemiology: Key to Public Health (Statistics for Biology and Health). Springer

5. Office hour

For the students of the Graduate School of Health Sciences, Tuesday, 18:00-18:30, at Myodani campus E707. For the students of GSICS, Thusday afternoon at Frontier Building Room 717. Taking appointment is recommended.

6. Message to the students

Done in English.

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