Hiroshima University Syllabus

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Japanese
Academic Year 2025Year School/Graduate School Graduate School of Biomedical and Health Sciences (Master’s Course)
Lecture Code TB056103 Subject Classification Specialized Education
Subject Name 医学統計パッケージ演習
Subject Name
(Katakana)
イガクトウケイパッケージエンシュウ
Subject Name in
English
Exercises and Seminar on Medical Statistics Using Statistical Software
Instructor AKITA TOMOYUKI,FUKUMA SHINGO,IMADA HIROHITO
Instructor
(Katakana)
アキタ トモユキ,フクマ シンゴ,イマダ ヒロヒト
Campus Kasumi Semester/Term 1st-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Inte:*MED Joint Seminar Rm 2
Lesson Style Lecture Lesson Style
(More Details)
Face-to-face
Seminar, Practice using JMP
Only face-to-face lecture. As for 1st lecture, please come to seminar room No.2 directly.   
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 5 : Graduate Basic
Course Area(Area) 27 : Health Sciences
Course Area(Discipline) 01 : Medical Sciences
Eligible Students Master's course students
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
MPH program: "Biostatistics" in Council on Education for Public Health (CEPH) USA 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
Lecture and software practice of statistical methods in clinical and epidemiological research will be given.
Student will receive practical skills of medical data analysis through the lecture.
We use follow software: JMP.  
Class Schedule Lesson 1 (October 4)
1030-1200  Introduction to Medical Statistics (Tomoyuki Akita)
1250-1420  Descriptive statistics (Tomoyuki Akita, Hirohito Imada)
 
Lesson 2 (October 18)
1030-1200   Univariate analysis I (Tomoyuki Akita, Hirohito Imada)
1250-1420 Univariate analysis II  (Tomoyuki Akita, Hirohito Imada)
 
Lesson 3 (October 25)
1030-1200  Sample size estimation (Hirohito Imada, Tomoyuki Akita)
1250-1420  Multivariate analysis I (Tomoyuki Akita, Hirohito Imada)
 
Lesson 4 (November 1) ※ Lecture room 1
1030-1200 Survival analysis (Tomoyuki Akita, Hirohito Imada)
1250-1420 Multivariate analysis II (Tomoyuki Akita, Hirohito Imada)

Preliminary date(November 11)

Report on every lesson 
Text/Reference
Books,etc.
Michael Harris & Gordon Taylor. Medical Statistics Made Easy. Scion Pub Ltd
Aviva Petrie & Caroline Sabin. Medical statistics at a glance. Wiley-Blackwell
Aviva Petrie & Caroline Sabin, Medical statistics at a glance workbook, Wiley-Blackwell
Handout of slide, procedure manual of JMP 
PC or AV used in
Class,etc.
Handouts, Other (see [More Details])
(More Details) Slide, handout, procedure manual of JMP, report 
Learning techniques to be incorporated Quizzes/ Quiz format, Post-class Report
Suggestions on
Preparation and
Review
Statistical software JMP student edition will be used.

In the lectures and JMP workshops, we will cover the following topics. You will engage in hands-on activities, conducting analysis using sample data and practicing summarizing the results for research papers.
Lesson 1: medical research, basic JMP operations, data importation, mean, median, standard deviation, interquartile range, cross-tabulation, p-values, principles of hypothesis testing.
Lesson 2: Paired or un-paired data, t-tests, Wilcoxon signed-rank test (Mann-Whitney U test), paired t-tests, chi-square test, Fisher's exact test, Type I and Type II errors, multiple comparison, analysis of variance (ANOVA), post-hoc tests.
Lesson 3: Scatter plots, correlation and association, correlation coefficient, simple linear regression analysis, absolute precision, sample size determination for estimation, power analysis, sample size determination for between-group comparisons (hypothesis testing).
Lesson 4: Time-to-event data, survival analysis, Kaplan-Meier curves, log-rank test, questionnaire form, confounding, adjusted odds ratio, logistic regression analysis. 
Requirements Bring your notebook PC.(Mac or Win). Active participation is required.
Before starting the lecture, please install JMP student edition.
https://cimr.hiroshima-u.ac.jp/rinsho/jmp 
Grading Method Attitude to working on analysis, Report on every lesson 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other Language
Handout of all lecture: Japanese and English (Both)
Explanation of all lecture: Japanese and English (Both) 
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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