Hiroshima University Syllabus

Back to syllabus main page
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. 
Back to syllabus main page