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# 応用数学XH

It is known that the efficacy shown in basic science research is not necessarily applicable to clinical research. To provide evidence of efficacy in human beings, clinical research (epidemiology) and clinical trials must be conducted. Prior to the start of any research, a clearly stated protocol with details such as the specific target population, sample size for the specific design, and the timing of the endpoints must be developed. Clinical research and trials are subject to unknown and unexpected matters, thus regular statistical analyses must be done to cope with these issues. In this course, we will focus on longitudinal and survival analyses.

コース名

0505104
FSC-MA4780L1

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1.Longitudinal Analysis: Topic I (Basic data setup for analysis) 2.Longitudinal Analysis: Topic II (Missing data) 3.Longitudinal Analysis: Topic III (Correlation) 4.Longitudinal Analysis: Topic IV (Partial likelihood approach) 5.Longitudinal Analysis: Topic V (M estimator approach) 6.Longitudinal Analysis: Examples 7.Survival Analysis: Topic I (Basic data setup for analysis) 8.Survival Analysis: Topic II (Nonparametric approach) 9.Survival Analysis: Topic III (Missing data) 10.Survival Analysis: Topic IV (Quasi Likelihood approach) 11.Survival Analysis: Topic V (Concept of enrichment approach) 12.Survival Analysis: Examples 13.Exploring the difference between mathematical and applied statistics

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David Collett: Modeling survival data in Medical Research, Chapman and Hall Joseph L Fleiss: The Design and Analysis of Clinical Experiments, John Wiley & Sons

Marcello Pagano, Kimberlee Gauvreau: Principles of Biostatistics, Chapman and Hall Steven Piantadosi: Clinical Trials A Methodologic Perspective, Wiley Series in Probability and Statistics

コロナウイルス感染症の状況によって対面方式の授業にすることがある。