Introduction to Statistical Computing and Data Management

Numbering Code P-PUB01 8H011 PJ90 Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Practical training
Target Year Professional degree students Target Student
Language Japanese Day/Period Tue.3・4
Instructor name SATO TOSIYA (Graduate School of Medicine Professor)
OMORI TAKASHI (Graduate School of Medicine Program-Specific Professor)
Omiya Masatomo (Graduate School of Medicine Program-Specific Assistant Professor)
Outline and Purpose of the Course The purpose of Introduction to Statistical Computing and Data Management is to see and experience the active practice of concepts learned during lectures. This practice is recommended to further your understanding of medical statistics. We practice simple aggregation, analysis, and programming using the JMP statistical software. You will be asked to create reports on this practice using Microsoft Word. We will create figures and tables using Microsoft Excel. We will create presentations using Microsoft PowerPoint. Kyoto University has a license agreement for the JMP statistical software. Students of the Graduate School of Medicine are required to download and install JMP on the laptop they will use during the course for their exercises, from the following link:
http://www.med.kyoto-u.ac.jp/software/JMP/

on the Graduate School of Medicine homepage. Since this software can be installed on individual computers, please install it on your laptop and bring it with you to practice.
[Online practice]
Course Goals ・Understand the importance of data checks and management.
・Create charts, presentations, and reports of excellent quality using word processing, spreadsheet, and presentation software.
・Further your understanding of the fundamental concepts of medical statistics by performing simple statistical calculations and aggregations using statistical software.
Schedule and Contents Session 1, April 13: Introduction, Using spreadsheet software
Session 2, April 20: Using the JMP statistical software
Session 3, April 27: Group Exercise 1: Topic Selection and Data Collection
Session 4, May 11: Group Exercise 2: Data Collection
Session 5, May 18: Group Exercise 3: Aggregation and Analysis
Session 6, May 25: Group Exercise 4: Presentation
Session 7, June 1: Let us Randomize
Session 8, June 8: The Mystery of Risk Ratios, Risk Differences, and Odds Ratios
Session 9, June 15: Testing the Difference in Ratios and the True Meaning of the Null Hypothesis
Session 10, June 22: The 95% Confidence Interval Does Not Contain the True Value With 95% Probability
Session 11, June 29: Analyzing a 2x2 Table
Session 12, July 6: Calculating Sample Size and finding out how many Subjects are Necessary
Session 13, July 13: Let us Try Random Sampling
Session 14, September 14: Presentation 1 (10:30 Start)
Session 15, September 15: Presentation 2 (10:30 Start)
Evaluation Methods and Policy Reports and presentations
・Students will be asked to submit a report in each session.
・Each group will make a presentation.
・Each individual will make a presentation (September)
Course Requirements ・Since the upper limit of the class is 40 people, priority is given to students at the School of Public Health.
・Each year, there are students who wish to take this course than places and therefore some will not be accepted. However, each year there are students who may no longer be able to participate during the course for that year. Please refrain from taking this course if there is any possibility of you not being able to participate.
・We do not accept students pursuing a major at the Human Health Sciences.
・Students at the Medical Science or the Doctorate in Medicine, please contact us in advance.
・If you have never written a report before, please read a book on how to write a report.

Note: This practice have presentation sessions in September.
Study outside of Class (preparation and review) A report is to be submitted in each session.
Textbooks Textbooks/References Required software: JMP
"Practice guidance" will be distributed in each session.
References, etc. Handouts are distributed in the practice class.
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