Translational Medicine
Open Access

Takashi Daimon

Biography

Takashi Daimon researches in Biostatistics and Applied Statistics. He is specialized in Development of Statistical Models, Methods and Methodologies for early-phase Clinical trials, especially translational researches for cancer, transplantation, regenerative medicine, and for other experimental or observational studies. Examples include but are far from limited to innovations in modelling; development of Bayesian methods for safety and efficacy evaluation in cancer and regenerative clinical trials; adaptive design; sample size determination methods; application of computer-intensive methods and machine learning methods to medicine; and approaches to data mining. Other areas of his research are Bayesian statistics; statistical aspects of basic and clinical researches; quantitative problems in health-care evaluation, technology assessment, and clinical decision making; statistical methodology in genetic studies and in circulation and psychiatric researches; statistical computing; statistical genetics and computational biology, particularly including the application of statistics to problems arising from biology; and collaborative research activities with biomedical scientists and medical colleagues in various universities and institutions.

Research Interest

Biostatistics,  Medical Statistics,  Pharmaceutical Statistics, B. Research Themes,  Bayesian approaches and applications,  Clinical trial methodology, especially early phase clinical trials and translational research.