Academic Year |
2022Year |
School/Graduate School |
School of Informatics and Data Science |
Lecture Code |
KA223001 |
Subject Classification |
Specialized Education |
Subject Name |
医療統計 |
Subject Name (Katakana) |
イリョウトウケイ |
Subject Name in English |
Biomedical Statistics |
Instructor |
FUKUI KEISUKE |
Instructor (Katakana) |
フクイ ケイスケ |
Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, Second Semester, 4Term |
Days, Periods, and Classrooms |
(4T) Thur1-4:ENG 115 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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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 |
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Special Subject |
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Class Status within Educational Program | |
---|
Criterion referenced Evaluation | Informatics and Data Science Program (Comprehensive Abilities) ・D3. Ability to examine social needs and issues which are interlinked in a complex manner, using a top-down view to solve the problems through quantitative and logical thinking based on data, diverse perspectives, and advanced skills in information processing and analysis. |
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. |
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(More Details) |
Text, handout, video (PC) |
Learning techniques to be incorporated |
|
Suggestions on Preparation and Review |
The students are expected to take biostatistics subjects. |
Requirements |
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Grading Method |
Grading will be decided based on attendance, report and a fraction of in-class contribution. |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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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. |