Numbering Code	P-PUB01 8H137 LJ90	Year/Term	2022 ・ Intensive, Second semester
Number of Credits	1	Course Type	Lecture
Target Year	Professional degree students	Target Student
Language	Japanese	Day/Period	Intensive
Instructor name	SATO TOSIYA (Graduate School of Medicine Professor) HATTORI　SATOSHI (Part-time Lecturer) OMORI TAKASHI (Graduate School of Medicine Program-Specific Professor) Omiya Masatomo (Graduate School of Medicine Program-Specific Assistant Professor)
Outline and Purpose of the Course	Survival time analysis is a method of statistical analysis of the duration before an event of interest takes place (survival time). It plays an important role in various medical studies such as clinical trials of antineoplastic drugs. Survival time is not usually observed for all subjects because of research constraints, and a unique methodology has been developed to draw inferences based on this truncated data. In this course, students will learn the fundamental concepts of survival time analysis and try to establish an understanding through practice using SAS programming language for statistical analysis. [Intensive lectures on November 5, 12, 19 and 26 (Fri)]
Course Goals	Understand: ・Likelihood in truncated survival time analysis and methods of maximum likelihood estimation for parametric models, ・The Kaplan-Meier method and the concept of logrank tests, ・The concept of hazards and the Cox proportional hazards model, and ・Ways to apply survival time analysis method using SAS.
Schedule and Contents	Session 1. November 5 Period 3: Survival Time Data Examples and Their Characteristics Session 2. November 5 Period 4: Non-Parametric Estimation Session 3. November 12 Period 3: Logrank Tests Session 4. November 12 Period 4: Review of the First Half of the Course and Exercises Using SAS Session 5. November 19 Period 3: The Cox Proportional Hazard Models Session 6. November 19 Period 4: Residual Analysis in Survival Time Analysis Session 7. November 26 Period 4: Sample Size Calculations in Randomized Trials
Evaluation Methods and Policy	Students will be asked to submit a report in each session.
Course Requirements	・Students must have completed "Fundamentals of Statistical Inference" in the first semester. ・Students must be familiar with basic calculus.
Study outside of Class (preparation and review)	Review lessons taught in previous sessions.
Textbooks	Textbooks/References	Materials will be distributed in each session.
References, etc.	Yasuo Ohashi, Chikuma Hamada, "生存時間解析－SASによる生物統計" (University of Tokyo Press) ISBN:978-4130602006, Collett D, (Translated by Etsuo Miyaoka) "医薬統計のための生存時間データ解析　原著第2版" (Kyoritsu Shuppan) ISBN:978-4320110359, Klein J, Moeschberger ML, (Translated by Mamoru Uchinami) "生存時間解析" (Maruzen Publishing) ISBN:978-4621061886, Therneau TM, Grambsch PM "Modeling Survival Data: Extending the Cox Model" (Springer) ISBN:978-1-4419-3161-0, Yasuo Ohashi, Chikuma Hamada, Ryuji Uozumi, "生存時間解析 応用編-SASによる生物統計-" (University of Tokyo Press) ISBN: 978-4130623179