TB001701 Basic Biostatistics and Basic Clinical Statistics

Hiroshima University Syllabus

Japanese

Academic Year 2024Year 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 AKITA TOMOYUKI,FUKUMA SHINGO,KO KO

Instructor
(Katakana) アキタ　トモユキ,フクマ　シンゴ,コ　コ

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)
For students who can' t attend face-to-face, a video of the class is uploaded to moodle. If you are taking the course from moodle, please make sure to take the course and submit your assignment by the deadline stated in moodle. 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
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

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 (6/10): Fundamental concepts of biostatistics: Descriptive statistics, Significant test (P-value) (Tomoyuki Akita)
Lesson 2 (6/17): Statistical test for Comparison groups I (Tomoyuki Akita)
Lesson 3 (6/24): Statistical test for Comparison groups II  (Tomoyuki Akita)
Lesson 4 (7/1): Statistical analysis for correlation among two variables (Tomoyuki Akita)
Lesson 5 (7/8): Confounding factors and its adjustment (Tomoyuki Akita)
Lesson 6 (7/18): Clinical research and statistical analysis (Tomoyuki Akita)
Lesson 7 (7/22) Bioinformatics (Ko Ko)
Lesson 8 (7/29): Figure and graph in Biological and medical research (Ko Ko)

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 In the eight sessions, you will learn the following topics. Please make sure to understand the lecture content during class explanations and self-study after class. Please ask if you have any question.
Session 1: Research methods, mean, median, standard deviation (SD), interquartile range, p-value, statistical significance
Session 2: Paired or un-paired data, continuous variables and nominal variables, normal distribution, t-test, Wilcoxon signed-rank test (Mann-Whitney U test), JMP operation methods
Session 3: Cross-tabulation, chi-square test, mosaic plot, Type I error, Type II error, multiple testing, analysis of variance (ANOVA), multiple comparison methods, JMP operation methods
Session 4: Scatter plots, correlation and association, correlation coefficient, simple linear regression analysis, regression line
Session 5: Confounding, stratified analysis, multivariate analysis, analysis of covariance (ANCOVA)
Session 6: Time-to-event data, censoring, Kaplan-Meier curve, log-rank test
Session 7: Bioinformatics, registration databases for genetic information, GISAID
Session 8: Basics of tables, creating various graphs

After listening lecture, please answer online test (forms) .

Requirements Please bring your note PC

Grading Method Attitude to working on analysis, Report (Quiz, Forms) on every lesson
Failure to submit assignments by the due date will be treated as an absence.

Quiz (forms) assignments will include practice in data analysis.
I will not explain about software other than JMP during the class, You may use software other than JMP to analyze your answers to the assignments.

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 7-8 (English), Lecture 1-6 (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.

Academic Year	2024Year	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	AKITA TOMOYUKI,FUKUMA SHINGO,KO KO
Instructor (Katakana)	アキタ　トモユキ,フクマ　シンゴ,コ　コ
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) For students who can' t attend face-to-face, a video of the class is uploaded to moodle. If you are taking the course from moodle, please make sure to take the course and submit your assignment by the deadline stated in moodle. 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 (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
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 (6/10): Fundamental concepts of biostatistics: Descriptive statistics, Significant test (P-value) (Tomoyuki Akita) Lesson 2 (6/17): Statistical test for Comparison groups I (Tomoyuki Akita) Lesson 3 (6/24): Statistical test for Comparison groups II (Tomoyuki Akita) Lesson 4 (7/1): Statistical analysis for correlation among two variables (Tomoyuki Akita) Lesson 5 (7/8): Confounding factors and its adjustment (Tomoyuki Akita) Lesson 6 (7/18): Clinical research and statistical analysis (Tomoyuki Akita) Lesson 7 (7/22) Bioinformatics (Ko Ko) Lesson 8 (7/29): Figure and graph in Biological and medical research (Ko Ko) 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	In the eight sessions, you will learn the following topics. Please make sure to understand the lecture content during class explanations and self-study after class. Please ask if you have any question. Session 1: Research methods, mean, median, standard deviation (SD), interquartile range, p-value, statistical significance Session 2: Paired or un-paired data, continuous variables and nominal variables, normal distribution, t-test, Wilcoxon signed-rank test (Mann-Whitney U test), JMP operation methods Session 3: Cross-tabulation, chi-square test, mosaic plot, Type I error, Type II error, multiple testing, analysis of variance (ANOVA), multiple comparison methods, JMP operation methods Session 4: Scatter plots, correlation and association, correlation coefficient, simple linear regression analysis, regression line Session 5: Confounding, stratified analysis, multivariate analysis, analysis of covariance (ANCOVA) Session 6: Time-to-event data, censoring, Kaplan-Meier curve, log-rank test Session 7: Bioinformatics, registration databases for genetic information, GISAID Session 8: Basics of tables, creating various graphs After listening lecture, please answer online test (forms) .
Requirements	Please bring your note PC
Grading Method	Attitude to working on analysis, Report (Quiz, Forms) on every lesson Failure to submit assignments by the due date will be treated as an absence. Quiz (forms) assignments will include practice in data analysis. I will not explain about software other than JMP during the class, You may use software other than JMP to analyze your answers to the assignments.
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 7-8 (English), Lecture 1-6 (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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