| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Biomedical and Health Sciences (Master’s Course) |
| Lecture Code |
TB010201 |
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 |
2nd-Year, First Semester, First Semester |
| Days, Periods, and Classrooms |
(1st) Inte：Clinical Departments |
| Lesson Style |
Experiment |
Lesson Style
(More Details) |
|
| 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.
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 |
Text/Reference
Books,etc. |
Handouts |
PC or AV used in
Class,etc. |
|
| (More Details) |
Slide |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
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 |
|
| 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. |