| Academic Year |
2024Year |
School/Graduate School |
School of Medicine Program of Health Sciences Division of Occupational Therapy |
| Lecture Code |
I5360801 |
Subject Classification |
Specialized Education |
| Subject Name |
保健統計学 |
Subject Name
（Katakana） |
ホケントウケイガク |
Subject Name in
English |
Statistics for Health Sciences |
| Instructor |
TSUNEMATSU MIWAKO,KAKEHASHI MASAYUKI,KASHIMA SAORI |
Instructor
(Katakana) |
ツネマツ ミワコ,カケハシ マサユキ,カシマ サオリ |
| Campus |
Kasumi |
Semester/Term |
3rd-Year, First Semester, First Semester |
| Days, Periods, and Classrooms |
(1st) Mon5-6：HSC Rm 204 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Those who need any help dut to handicap are requested to have a contact beforehand. |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
27
:
Health Sciences |
| Course Area（Discipline） |
04
:
Nursing and Rehabilitation Sciences |
| Eligible 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) | Physical Therapy
（Knowledge and Understanding）
・Knowledge, understanding about the basic education
・Knowledge, understanding about rehabilitation medicine, physiotherapy studies
Occupational Therapy
（Abilities and Skills）
・Abilities and skills for integrating knowledge to solve issues with undertaking an occupation |
|---|
Class Objectives
/Class Outline |
To get skills in data analyses in nursing and health sciences using personal computers
To understand fundamental methods in statistical data analysis and the selection of suitable method
To understand required ethical consideration in processing personal medical data |
| Class Schedule |
lesson1
Introduction to health statistics and the software R
lesson2
Types of variables and descriptive statistics
Probability distributions and statistical models
lesson3
Graphs and how to use spread sheet software (Microsoft Exel)
lesson4
Statistical hypothesis testing: difference in rates
lesson5
Statistical hypothesis testing: difference in means
Nonparametric tests
lesson6
Correlation and regression
lesson7
Calculation of required sample size and the idea of hypothesis testing and confidence interval
lesson8
Comparison of multiple groups: ANOVA and multiple comparison
lesson9
Multiple regression, logistic regression and survival analysis
lesson10
Practice in data analysis 1: Using Excel
lesson11
Practice in data analysis 2: Using R
lesson12
Practice in data analysis 3: Using GIS
lesson13
Practice in data analysis 4: Using GIS
lesson14
Practice in data analysis 5: Using GIS
lesson15
Summary |
Text/Reference
Books,etc. |
References are suggested in the lecture. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Related documents are available in the course built in Hiroshima University Blackboard9 system. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Lesson 1: Try to understand the aim and scope of this class
Lesson 2- Lesson9 : Respond to questionnaire prepared after the class at Blackboard9. Any questions welcome!
Lesson 10- Lesson 14: Get familiear with statistical analysis using computer software
Lesson 15: Summary |
| Requirements |
|
| Grading Method |
Evaluation is based on the performance of the report in additon to the participative attitudes toward each class. |
| 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. |