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 TB010103 Subject Classification Specialized Education
Subject Name 公衆衛生学特別研究(疫学)
Subject Name
Subject Name in
Research on Public Health (Epidemiology)
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.
This class contains Review of text or paper, seminar, laboratory experiment, field research, data analysis etc. under the guidance of supervisor. 
Class Schedule 1. Designing Clinical Research-1, 2. Getting Started: The Anatomy and Physiology of Clinical Research, Conceiving the Research Question and Developing the Study Plan
2. Designing Clinical Research-3. Choosing the Study Subjects: Specification, Sampling, and Recruitment
3. Designing Clinical Research-4. Planning the Measurements: Precision, Accuracy, and Validity
4. Designing Clinical Research-5. Getting Ready to Estimate Sample Size: Hypotheses and Underlying Principles
5. Student research presentation-1
6. Designing Clinical Research-6. Estimating Sample Size and Power: Applications and Examples
7. Designing Clinical Research-7. Designing Cross-Sectional and Cohort Studies
8. Designing Clinical Research-8. Designing Case–Control Studies
9. Designing Clinical Research-9. Enhancing Causal Inference in Observational Studies
10. Student research presentation-2
11. Application examples (seroepidemiological research) - antigen, antibody, PCR, gene sequence and phylogenetic tree analysis
12. Application example (database research) - Analysis of NDB, receipt, and medical examination data
13. Application examples (theoretical epidemiology research) - mathematical models, natural history models
14. Application example (field epidemiological research) - national survey, residents survey
15. Student research presentation-3

No examination 
PC or AV used in
(More Details) Slide 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Active participation is required.

1-4, 6-9, 11-14: Read the text carefully in advance and resolve any questions during the seminar.
5, 10, 15: This session will be an opportunity to present the results and progress of your research, so please prepare thoroughly and review the points you received during the seminar. Also, pay attention to other students' presentations and comments on them.
The slides used in the presentation will be evaluated, so please make any revisions after the presentation before submitting. 
Requirements None 
Grading Method 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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