Health Data Processing Laboratory
| Numbering Code | P-PUB01 8H022 PJ90 | Year/Term | 2022 ・ Second semester | |
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| Number of Credits | 2 | Course Type | Practical training | |
| Target Year | Professional degree students | Target Student | ||
| Language | Japanese | Day/Period | Tue.3・4 | |
| Instructor name |
OMORI TAKASHI (Graduate School of Medicine Program-Specific Professor) SATO TOSIYA (Graduate School of Medicine Professor) MORI KAZUHIKO (Part-time Lecturer) ANDO YUKI (Part-time Lecturer) Omiya Masatomo (Graduate School of Medicine Program-Specific Assistant Professor) |
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| Outline and Purpose of the Course |
This course provides students technical issues to develop a statistical analysis plan and a study protocol. This course provides practice to review new pharmaceutical products. At the end of this program, students develop their statistical analysis plans for their master's thesis and give presentation for them. |
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| Course Goals |
- Understand study guidelines - Apply stratified analysis and regression models using JMP statistical software and interpret results - Be familiar with review of submitted documents for approval on new pharmaceutical products - Develop analysis plans for master's theses |
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| Schedule and Contents |
1. October 2 Study guidelines 1 2. October 9 Study guidelines 2 3. October 16 Study guidelines 3 (Presentation) 4. October 23 Stratified analysis 5. October 30 Comparison of means 6. November 6 Regression analysis 7. November 13 Generalized linear models 8. November 20 Survival analysis 9. November 27 Missing data analysis 10. December 4 Review practice for new pharmaceutical products 1 11. December 11 Review practice for new pharmaceutical products 2 12. December 18 Review practice for new pharmaceutical products 3 (Presentation, 14:45-18:00) 13. January 8 Developing statistical analysis plan 1 14. January 15 Developing statistical analysis plan 2 15. January 22 Statistical analysis plan presentations |
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| Evaluation Methods and Policy | Reports and presentations | |||
| Course Requirements | All students in the course were expected to take "Introduction to Statistical Computing." | |||
| Study outside of Class (preparation and review) | Introduction to Statistical Computing | |||
| Textbooks | Textbooks/References |
Distributed materials in "Fundamentals of Biostatistics" Distributed materials in "Introduction to Statistical Computing" Distributed materials in "Intermediate Biostatistics" |
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