Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School Graduate School of Biomedical and Health Sciences (Master’s Course)
Lecture Code TB001701 Subject Classification Specialized Education
Subject Name 生物統計学・臨床統計学基礎論
Subject Name
(Katakana)
セイブツトウケイガク・リンショウトウケイガクキソロン
Subject Name in
English
Basic Biostatistics and Basic Clinical Statistics
Instructor TANAKA JUNKO,YOSHIMURA KENICHI,KO KO,AKITA TOMOYUKI
Instructor
(Katakana)
タナカ ジュンコ,ヨシムラ ケンイチ,コ コ,アキタ トモユキ
Campus Kasumi Semester/Term 1st-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Mon11-12:MED Rm 2
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture, Exercise, Software practice of statistical methods
Face-to-face lecture (student in Kasumi), On-demand (student in Higashi-Hiroshima or entering from the work force)
For students who can' t attend face-to-face, a video of the class is uploaded to Bb9. If you are taking the course from Bb9, please make sure to take the course and submit your assignment by the deadline stated in Bb9. Those who have not submitted their assignments  are considered absent.  
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 5 : Graduate Basic
Course Area(Area) 27 : Health Sciences
Course Area(Discipline) 01 : Medical Sciences
Eligible Students Master's course students
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
 
Class Objectives
/Class Outline
We provide statistical analysis methods, interpretation and annotation for medical research.
Student will able to practice medicine or administrative policy with EBM. 
Class Schedule Lesson 1 (6/13): Fundamental concepts of biostatistics: Descriptive statistics, Significant test (P-value) (Tomoyuki Akita)
Lesson 2 (6/20): Statistical test for Comparison groups I (Tomoyuki Akita)
Lesson 3 (6/27): Statistical test for Comparison groups II  (Tomoyuki Akita)
Lesson 4 (7/4): Statistical analysis for correlation among two variables (Tomoyuki Akita)
Lesson 5 (7/11): Confounding factors and its adjustment (Tomoyuki Akita)
Lesson 6 (7/21 THU): Clinical research and statistical analysis II (Kenichi Yoshimura)
Lesson 7 (7/25) Bioinformatics (Ko Ko)
Lesson 8 (8/1): Figure and graph in Biological and medical research, General overview and Review test (Tomoyuki Akita)


During lecture, exercise and practice in Excel and JMP will be provided.
 
Text/Reference
Books,etc.
Handout,
Michael Harris & Gordon Taylor. Medical Statistics Made Easy. Scion Pub Ltd
Aviva Petrie & Caroline Sabin, Medical statistics at a glance, Wiley-Blackwell
Aviva Petrie & Caroline Sabin, Medical statistics at a glance workbook, Wiley-Blackwell 
PC or AV used in
Class,etc.
 
(More Details) Slide, Handouts
※Handouts will be distributed by mail or on campus to students who attend video recording lectures (remote lectures, course of Integrated Sciences for Life). 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
To be announced at lectures.
After listening lecture, please answer online test (forms) .  
Requirements Please bring your note PC 
Grading Method Attitude to working on analysis, Report on every lesson 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message Basic exercises of Biostatistics (medical statistics).
Room: School of Medicine, Lecture Room 2
If student (who take on-demand lecture) want to get printed handout, please send mail to Dr. Akita (tomo-akita@).  
Other Language
Handout of all lecture: Japanese and English (Both)
Explanation: Lecture 6,7 (English), Lecture 1-5,8 (Japanese and English) 
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. 
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