| Academic Year |
2024Year |
School/Graduate School |
School of Informatics and Data Science |
| Lecture Code |
KA232001 |
Subject Classification |
Specialized Education |
| Subject Name |
生物・医療統計 |
Subject Name
（Katakana） |
セイブツ・イリョウトウケイ |
Subject Name in
English |
Biostatistics |
| Instructor |
EMURA TAKESHI,OKAMURA HIROYUKI |
Instructor
(Katakana) |
エムラ タケシ,オカムラ ヒロユキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
2
:
Undergraduate Low-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
Medical/Epidemiological study design, Medical Statistics |
| 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) | Computer Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
Data Science Program
（Comprehensive Abilities）
・D3. Ability to overlook social needs and issues that are intertwined in a complex manner and to solve issues with quantitative and logical thinking based on data, a multifaceted perspective, and advanced information analysis ability.
Intelligence Science Program
（Comprehensive Abilities）
・D3. Ability to grasp complexly intertwined social needs and issues from a bird's-eye view and solve issues with a multifaceted perspective and analytical ability based on a wide range of knowledge in intelligent science. |
|---|
Class Objectives
/Class Outline |
1. To understand the basic knowledge of medical statistics
2. To learn about the medical and epidemiological study design and to select the necessary statistical methods appropriately.
3. To analysis using actual data.
|
| Class Schedule |
lesson1 What is the medical statistics?
lesson2 Medical statistics and Clinical study
lesson3 Outline of medical/epidemiological study design
lesson4 Interventional study, randomization and blinding
lesson5 Observational study and importance of comparison
lesson6 Observational study and bias
lesson7 Observational study and confounder
lesson8 Measures in medical/epidemiological study
lesson9 Statistical hypothesis testing
lesson10 Point and interval estimation
lesson11 Sample size calculation
lesson12 Actual hypothesis testing and estimation in medical statistics
lesson13 Introducing the example of interventional study
lesson14 Introducing the example of observational study
lesson15 Review |
Text/Reference
Books,etc. |
Materials will be distributed, Text book will be introduced in the class. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Text, handout, video (PC) |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
The students are expected to take statistics subjects. |
| Requirements |
|
| Grading Method |
Grading will be decided based on attendance, report and a fraction of in-class contribution. |
| 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. |