京都大学 京都大学

Statistical Methods in Observational Studies

Numbering Code P-PUB01 8H084 LJ90 Year/Term 2022 ・ Intensive, First semester
Number of Credits 2 Course Type Lecture
Target Year Professional degree students Target Student
Language Japanese Day/Period Intensive
Instructor name SATO TOSIYA (Graduate School of Medicine Professor)
Outline and Purpose of the Course Various observational studies are conducted in clinical and epidemiological studies. There are many situations in which experimental trials, typified by clinical trials, cannot be conducted, and observational studies play an important role in clinical and epidemiological studies. Observational research, unlike experimental research, is susceptible to various biases, and there are many points that particular to observational research that one should be cautious about.
This course explains the design of observational studies, methods of statistical analysis, and aims at the acquisition of the knowledge of medical statistics necessary to plan, conduct, analyze, and report observational studies. [Intensive online lectures on June 4, 11, 18, and 25 (Fri)]
Course Goals Understand: ・Ideas in research design to avoid bias,
・Statistical methods to adjust for bias,
・The concept of causal inference in observational research, and
・Methods of sampling and analysis of subjects using various research designs.
Schedule and Contents Intensive lectures on June 4, 11, 18, and 25 (Friday) Periods 3-6 (Periods 3 and 4 on June 28 alone)
Session 1, June 4, Period 3: Mathematics and analysis of 2x2 tables
Session 2, June 4, Period 4: Bias in observational research
Session 3, June 4, Period 5: Stratified Analysis
Session 4, June 4, Period 6: Exercise 1

Session 5, June 11, Period 3: Matching
Session 6, June 11, Period 4: The Generalized Linear Models
Session 7, June 11, Period 5: Survival Analysis
Session 8, June 11, Period 6: Exercise 2

Session 9, June 18, Period 3: New Epidemiological Study Designs 1
Session 10, June 18, Period 4: New Epidemiological Study Designs 2
Session 11, June 18, Period 5: Bayesian Analysis
Session 12, June 18, Period 6: Exercise 3

Session 13, June 25, Period 3: Propensity Scores
Session 14, June 25, Period 4: Instrumental Variable Methods
Evaluation Methods and Policy Exercise reports on mathematics and analysis.
Course Requirements ・As this is a challenging course that requires basic knowledge of statistics (probability distribution, likelihood, asymptotic variance etc.), students should have completed "Fundamentals of Statistical Inference" in the first semester.
・Those who wish to attend must consult the staff before registration.
・We do not accept those with human health science majors.
Study outside of Class (preparation and review) Solve the exercises.
Textbooks Textbooks/References Videos and materials will be uploaded in PandA.
References, etc. Tosiya Sato, "S宇宙怪人しまりす　医療統計を学ぶ　検定の巻" (Iwanami Shoten) ISBN:978-4-00-029594-9, Toshiro Tango, Shigeyuki Matsui eds. "新版　医学統計学ハンドブック" (Asakura Shoten) ISBN:978-4-254-12299-9, Rothman KJ, Greenland S, Lash TL "Modern Epidemiology, 3rd ed." (Lippincott, Williams & Wilkins) ISBN:978-0-7817-5564-1
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