Japanese

Academic Year	2024Year	School/Graduate School	School of Medicine Program of Health Sciences Division of Nursing
Lecture Code	I3191901	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	Health statistics
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)	Nursing （Knowledge and Understanding） ・A mental and physical function and health based on the environment, the prevention of the illness, the onset, knowledge, understanding about the healing ・Nursing practice theory, knowledge, understanding about the three R's and the manner of the nursing ・An individual and a family, a local health problem and knowledge, understanding about the nursing ・Knowledge, understanding about the collaboration with the row other types of job between a health care system and people of nursing job ・Knowledge, understanding about the nursing ethic
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.