TB056103 Exercises and Seminar on Medical Statistics Using Statistical Software

Hiroshima University Syllabus

Japanese

Academic Year 2024Year 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

Instructor
(Katakana) アキタ　トモユキ,フクマ　シンゴ

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) 　

Seminar, Practice using JMP
Only face-to-face lecture. As for 1st lecture, please come to seminar room No.2 directly in 10:30, October 5 (Sat).  Student who belongs to MPH program, but cannot attend the face-to-face lecture, please see "Other"

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)
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 5)
1030-1200  Introduction to Medical Statistics (Tomoyuki Akita)
1250-1420  Descriptive statistics (Tomoyuki Akita)
　
Lesson 2 (October 12)
1030-1200  Univariate analysis I (Tomoyuki Akita)
1250-1420  Univariate analysis II  (Tomoyuki Akita)
　
Lesson 3 (October 19)
1030-1200 Multivariate analysis I (Tomoyuki Akita)
1250-1420  Sample size estimation (Tomoyuki Akita, Hirohito Imada)
　
Lesson 4 (October 26)
1030-1200 Survival analysis (Tomoyuki Akita)
1250-1420 Multivariate analysis II (Tomoyuki Akita)

Preliminary date（November 2）If the class is held on the "Preliminary date", it will be held in Lecture Room 2 of the Faculty of Medicine, as Seminar Room 2 is unavailable.

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. 　

(More Details) Slide, handout, procedure manual of JMP, report

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Statistical software JMP of Hiroshima University version 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 visit the following website, and submit application form of JMP (campus license) and get it.
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)

If student cannot attend the face-to-face lecture, please send mail to Dr. Akita (HU mail: tomo-akita＠)

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.

Academic Year	2024Year	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
Instructor (Katakana)	アキタ　トモユキ,フクマ　シンゴ
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)
Seminar, Practice using JMP Only face-to-face lecture. As for 1st lecture, please come to seminar room No.2 directly in 10:30, October 5 (Sat). Student who belongs to MPH program, but cannot attend the face-to-face lecture, please see "Other"
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)
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 5) 1030-1200 Introduction to Medical Statistics (Tomoyuki Akita) 1250-1420 Descriptive statistics (Tomoyuki Akita) 　 Lesson 2 (October 12) 1030-1200 Univariate analysis I (Tomoyuki Akita) 1250-1420 Univariate analysis II (Tomoyuki Akita) 　 Lesson 3 (October 19) 1030-1200 Multivariate analysis I (Tomoyuki Akita) 1250-1420 Sample size estimation (Tomoyuki Akita, Hirohito Imada) 　 Lesson 4 (October 26) 1030-1200 Survival analysis (Tomoyuki Akita) 1250-1420 Multivariate analysis II (Tomoyuki Akita) Preliminary date（November 2）If the class is held on the "Preliminary date", it will be held in Lecture Room 2 of the Faculty of Medicine, as Seminar Room 2 is unavailable. 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.
(More Details)	Slide, handout, procedure manual of JMP, report
Learning techniques to be incorporated
Suggestions on Preparation and Review	Statistical software JMP of Hiroshima University version 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 visit the following website, and submit application form of JMP (campus license) and get it. 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) If student cannot attend the face-to-face lecture, please send mail to Dr. Akita (HU mail: tomo-akita＠)
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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