Hiroshima University Syllabus

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Academic Year 2024Year School/Graduate School Graduate School of Biomedical and Health Sciences (Master’s Course)
Lecture Code TB010203 Subject Classification Specialized Education
Subject Name 公衆衛生学特別研究(生物統計学)
Subject Name
Subject Name in
Research on Public Health (Biostatistics)
フクマ シンゴ,コ コ,アキタ トモユキ,スギヤマ アヤ
Campus Kasumi Semester/Term 1st-Year,  Second Semester,  Second Semester
Days, Periods, and Classrooms (2nd) Inte:Clinical Departments
Lesson Style Experiment Lesson Style
(More Details)
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 5 : Graduate Basic
Course Area(Area) 27 : Health Sciences
Course Area(Discipline) 01 : Medical Sciences
Eligible Students Master's course students
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Class Objectives
/Class Outline
Student will learn firsthand from supervisor and vice supervisor, and make master thesis. Review of text or paper, seminar, numerical experiment, data analysis etc, under the guidance of supervisor.

This lecture will begin from the latter half of the first year semester.
Using a combination of text and paper readings, as well as spreadsheet software Excel and statistical software JMP (partially EZR), you will learn about the basics of biostatistics and data analysis.
However, there will be no involvement in mathematical statistics, Excel macros, or R code programming. 
Class Schedule Examples of clinical research and epidemiological studies
Visualization of data (JMP)
Descriptive statistics (JMP)
Population and sample, point estimation and interval estimation
Concept of hypothesis testing (JMP)
Sample size (JMP, EZR)
Analysis of cross tables (JMP)
Scatter plots and regression analysis: correlation coefficient, simple regression analysis, exponential function model (JMP)
Confounding adjustment using covariance analysis (JMP)
Is odds ratio an approximate value of relative risk?
Confounding adjustment by logistic regression analysis (JMP)
Survival analysis, representation of life prognosis (JMP)
Data integration and aggregation using Excel: SUBTOTAL, VLOOKUP, Pivot Table
Simulation of mathematical models using Excel: mathematical models of infectious diseases, Markov chains
Simulation using Excel random numbers: random sampling, creation of contingency tables, coverage probability of confidence intervals 
PC or AV used in
(More Details) Slide 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Active participation is required.

1-12. Utilize the provided references on biostatistics for pre-learning and review.
13-15. Focus on reviewing content related to database and simulation using spreadsheet software. 
Requirements Completion of either
"Basic Biostatistics and Basic Clinical Statistics",
"Basic and Advanced Training on Methodology for Clinical Research",
"Exercises and Seminar on Medical Statistics Using Statistical Software"
is required. 
Grading Method Activity during seminar, Report 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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