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 |
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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 |
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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 |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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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. |