| Academic Year |
2026Year |
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 |
Instructor
(Katakana) |
エムラ タケシ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
| Lecture-based, with extensive board work and frequent quizzes. |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| 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) | 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 |
• Acquire a basic understanding of statistics.
• Learn how to apply statistical methods.
• Gain a foundational understanding of methods for analyzing medical data.
|
| Class Schedule |
Nonparametric Tests (I)
Nonparametric Tests (II)
Censoring of Survival Time (I)
Censoring of Survival Time (II)
Estimation of the Survival Function (I)
Estimation of the Survival Function (II)
Estimation of the Survival Function (III)
Comparison of Survival Times Between Groups (I)
Comparison of Survival Times Between Groups (II)
Comparison of Survival Times Between Groups (III)
Cox Proportional Hazards Model (I)
Cox Proportional Hazards Model (II)
Cox Proportional Hazards Model (III)
Surrogate Endpoints for Survival Time Variables (I)
Surrogate Endpoints for Survival Time Variables (II)
Quizzes and Tests |
Text/Reference
Books,etc. |
See the Japanese version. |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
To review the course content. |
| Requirements |
|
| Grading Method |
Quiz and test scores |
| 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. |