大学院
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最終更新日：2026年10月16日
授業計画や教室は変更となる可能性があるため、必ずUTASで最新の情報を確認して下さい。
UTASにアクセスできない方は、担当教員または部局教務へお問い合わせ下さい。
最終更新日：2026年10月16日
授業計画や教室は変更となる可能性があるため、必ずUTASで最新の情報を確認して下さい。
UTASにアクセスできない方は、担当教員または部局教務へお問い合わせ下さい。
医学共通講義XXXII
EPIDEMIOLOGY FOR HEALTH RESEARCH.
This course provides students with a foundational understanding of the principles of epidemiology and the epidemiological methods commonly used in medical and public health research. Students will learn how health and disease are measured, how associations between exposure and outcomes are evaluated, and how different study designs are applied to answer research questions.
This course aims to equip students with the epidemiological literacy needed to critically read scientific literature, interpret research findings, and support evidence-based decision making in health research and policy.
This course is designed as a complementary course to Statistics for Health Research and is strongly recommended to be taken together.
By the end of this course, students should be able to:
1. Describe and apply measures of disease frequency (incidence and prevalence) and measures of effect, including relative and absolute risk.
2. Identify and explain key challenges in interpreting epidemiological data, including chance, bias, confounding, and effect modification.
3. Explain major criteria used to access causal relationships in epidemiology.
4. Describe the basic principles and applications of common epidemiological study designs, including descriptive, ecological, cross-sectional, cohort, case-control, and intervention studies.
5. Critically assess the strengths and limitations of different epidemiological study designs.
6. Apply basic epidemiological concepts to formulate and evaluate health research questions.
7. Explain the basic concepts and purposes of systematic review and meta-analyses and interpret their main results.
8. Identify key features of sampling methods used in health surveys and assess their implications for validity and generalizability.
1. Describe and apply measures of disease frequency (incidence and prevalence) and measures of effect, including relative and absolute risk.
2. Identify and explain key challenges in interpreting epidemiological data, including chance, bias, confounding, and effect modification.
3. Explain major criteria used to access causal relationships in epidemiology.
4. Describe the basic principles and applications of common epidemiological study designs, including descriptive, ecological, cross-sectional, cohort, case-control, and intervention studies.
5. Critically assess the strengths and limitations of different epidemiological study designs.
6. Apply basic epidemiological concepts to formulate and evaluate health research questions.
7. Explain the basic concepts and purposes of systematic review and meta-analyses and interpret their main results.
8. Identify key features of sampling methods used in health surveys and assess their implications for validity and generalizability.
時間割／共通科目コード
コース名
教員
学期
時限
41611132
GME-ML6132L2
医学共通講義XXXII
橋爪 真弘
木曜3限、木曜4限
マイリストに追加
マイリストから削除
講義使用言語
英語
単位
2
実務経験のある教員による授業科目
NO
他学部履修
可
開講所属
医学系研究科
授業計画
Thursday
3rd period (13:00～14:45)
4th period (14:55～16:40)
(The course contents are subject to change)
Day 1
Measuring health and disease
Day 2
Confounding, effect modification
Bias, precision and causality
Day 3
Descriptive and ecological studies
Cross sectional studies
Day 4
Cohort studies
Case control studies
Day 5
Randomized controlled trials
Systematic review and meta-analysis
Day 6
Sampling methods
授業の方法
Before the lectures
• UTokyo LMS (UTOL) access: Please ensure that you can access the course webpage on UTOL.
Participating in lectures and practical sessions
• All course information and materials will be posted on UTOL. Please check the course webpage regularly for learning materials, updates, and announcements.
• Go to the Course Documents menu and follow the step-by-step instructions for each session.
• Please download all materials for each session in advance, including lecture slides, practical questions, data files, R scripts, and solution files.
• Students are expected to view the lecture video and attempt the self-practice questions on their own computer before the in-person session.
• Before each session, you are encouraged to skim through the lecture slides and identify topics that may require additional clarification.
Preparation for practical session
• Students are advised to read the related practical questions in advance of each session.
Review
• Review sessions may be arranged following discussion with students and based on their availability. Please check UTOL for announcements.
• In addition, students may be given the opportunity to participate in group presentations based on practice questions related to statistical analyses.
成績評価方法
Assessment
• Students will be assessed at the end of the course.
• The assessment will consist of a combination of short multiple-choice questions and open-ended questions.
• Further details regarding the assessment format and schedule will be provided toward the end of the course.
履修上の注意
None.
その他
Lecturers
Masahiro Hashizume, GHP, *****
Chris Fook Sheng Ng, GHP, *****
Daisuke Yoneoka, GHP, *****
Junko Kiriya, CGH, *****
Paul Chua, GHP, *****
Aurelio Tobias, GHP, *****
