| Academic Year |
2025Year |
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
（Katakana） |
コウシュウエイセイガクトクベツケンキュウ（セイブツトウケイガク） |
Subject Name in
English |
Research on Public Health (Biostatistics) |
| Instructor |
FUKUMA SHINGO,KO KO,AKITA TOMOYUKI,SUGIYAMA AYA |
Instructor
(Katakana) |
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) |
Face-to-face |
| Seminar |
| 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 |
| 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 |
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. |
| Class Schedule |
1. A definition of causal effect
2. Randomized experiments
3. Observational studies
4. Effect modification
5. Interaction
6. Graphical representation of causal effects
7. Confounding
8. Selection bias
9. Measurement bias and “Noncausal” diagrams
10. Random variability |
Text/Reference
Books,etc. |
Handouts |
PC or AV used in
Class,etc. |
Text, Handouts, Microsoft Teams |
| (More Details) |
Slide |
| Learning techniques to be incorporated |
Discussions, PBL (Problem-based Learning)/ TBL (Team-based Learning), Project Learning |
Suggestions on
Preparation and
Review |
As for seminar presentation, 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 |
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.
Graduate students who belong to laboratories other than Epidemiology, Disease Control and Prevention and who wish to take this course should contact Tomoyuki Akita, Lecturer, during April (October) regarding the content of the exercises. |
| Grading Method |
Activity during seminar, Report |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
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. |