Numbering Code	G-MED21 8M022 LJ90	Year/Term	2022 ・ First semester
Number of Credits	2	Course Type	Lecture
Target Year	1st year master's students	Target Student
Language	Japanese	Day/Period	Thu.3・4・5
Instructor name	Morita Satoshi (Kyoto University Hospital Professor) ABE HIROYASU (Kyoto University Hospital Assistant Professor) NAKAKURA Akiyoshi (Kyoto University Hospital Program-Specific Assistant Professor) HIDAKA YU (Kyoto University Hospital Assistant Professor) UENO KENTARO (Kyoto University Hospital Program-Specific Assistant Professor)
Outline and Purpose of the Course	This course is designed to learn principles underlying statistical analysis methods and their practical techniques in the fields of health and medical care. In computer exercises with problem sets, we will learn how to use JMP statistical software and to interpret the results. Students are required to bring their own laptops with the JMP statistical software already installed. Kyoto University has a licensing agreement for JMP statistical software. See instructions below: http://www.med.kyoto-u.ac.jp/software/JMP/
Course Goals	Students are expected to acquire fundamental statistical knowledge and data analysis techniques using the JMP statistical software.
Schedule and Contents	1. 28 Apr. Introduction (Morita) 2. 28 Apr. Lecture: Descriptive statistics (Abe) 3,. 28 Apr. JMP Exercise #1 (Abe) 4. 12 May Lecture: Hypothesis testing and interval estimation #1 (Nakakura) 5. 12 May Lecture: Hypothesis testing and interval estimation #2 (Nakakura) 6. 12 May JMP Exercise #2 (Nakakura) 7. 19 May Lecture: Categorical data analysis #1 (Abe) 8. 19 May Lecture: Categorical data analysis #2 (Abe) 9. 19 May JMP Exercise #3 (Abe) 10. 26 May Lecture: Correlation and regression #1 (Hidaka and Ueno) 11. 26 May Lecture: Correlation and regression #2 (Hidaka and Ueno) 12. 26 May Exercise with JMP #4 (Hidaka and Ueno) 13. 2 Jun. Review #1 14. 2 Jun. Review #2 15. 2 Jun. Feedback
Evaluation Methods and Policy	Comprehensive assessment based on exams, problem-sets, and attendance.
Course Requirements	Students from the School of Public Health are not accepted. Students are required to bring their own laptops with the JMP statistical software already installed.
Study outside of Class (preparation and review)	Review the content of each lecture.
Textbooks	Textbooks/References	Additional slide handouts will be distributed during lectures.
References, etc.	TBA