医学共通講義XXXII

(The course contents are subject to be reorganized) 3rd period (13:00～14:45): Epidemiology 4th period (14:55～16:40): Statistics Day 1 Epi: Measuring health and disease Stat: Data and probability distribution Day 2 Epi: Descriptive and ecological studies, Cross sectional studies - measures of effect Stat: Population and sample, statistical inference, and hypothesis testing Stat: Preparation of R Day 3 Epi: Confounding, effect modification Stat: Chi-square test, t-test Day 4 Epi: Bias, precision and causality Stat: Correlation coefficient, ANOVA, and linear regression Day 5 Epi: Intervention studies Stat: Multiple linear regression and introduction to statistical modelling Day 6 Epi: Cohort studies, Case control studies Stat: Logistic regression Day 7 Epi and Stat: Sampling methods Stat: Sample size calculation Day 8: Stat: Final presentation

Before the lectures •UTOL access: Make sure you can access the webpage for this module on UTOL. • R software: The script files for R will be distributed. Please ensure that you download and install R Participating in lectures and practical sessions • All information will be posted to UTOL. Please check the module webpage for learning materials, updates and announcements. • Go to the Course Documents menu and follow the step-by-step instructions to complete each session. • Download all materials for each session before the lecture and practical session (lecture slides, practical questions, data file, R script file, and solution). • View the lecture video and try the self-practice questions on your computer before the in-person session. • Before each session, you should try to skim through the lecture slides and identify topics that might need extra work. Preparation for practical session We advise students to read the related practical questions before each session. You should make sure R is installed and set up successfully (No need to connect to the university network for this to work). You should also make sure your computer can read or import any dataset provided before attending the session. The solution and R scripts (if relevant) will be uploaded to UTOL after each practical so please check online. Review Review sessions may be planned after discussion with students based on their availability. Please check UTOL for any announcements. In addition, students may be given an opportunity for a group presentation based on practice questions related to statistical analyses.

Assessment Students will be assessed at the end of the course. The test will be a set of short multiple-choice questions and open-ended questions. Details of the assessment will be provided at the end of the course.

Reading (required) 1.Celentano DD, Szklo M. (2018) Gordis Epidemiology. Sixth edition, Elsevier. 2.Kirkwood BR, Sterne JAC. (2001) Essential Medical Statistics. Second Edition. Wiley.

Other reading 1.dos Santos Silva I. (1999) Cancer Epidemiology: Principles and Methods. IARC: Lyon (France). Although this book uses cancer epidemiology examples it is a very good basic text. You can download the PDF through the IARC website: https://publications.iarc.fr/***** Spanish or French translation is also available. 2.Bonita R, Beaglehole R, and Kjellstrom T. (2006) Basic epidemiology. Second edition, World Health Organization, Geneva. You can download the PDF through the WHO website: https://apps.who.int/***** 3.Bland M. An introduction to Medical Statistics. Fourth edition. Oup Oxford. Epidemiological methods and statistics 4. Lash TL, VanderWeele TJ, Haneuse S, Rothman KJ. (2021) Modern epidemiology. Fourth Edition, Lippincott Williams & Wilkins, US. Dictionary 5. Porta M. (2008) A Dictionary of Epidemiology. Sixth edition, Oxford University Press.

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Lecturers Masahiro Hashizume, GHP, ***** Chris Fook Sheng Ng, GHP, ***** Akira Shibanuma, CGH, ***** Junko Kiriya, CGH, ***** Vera Phung, GHP, *****