Ph.D. Professor Tosiya Sato
Biostatistics is the study of various health-related issues from a statistical perspective and the practical application of the results. It is the indispensable area for epidemiological and clinical research, but there are only a limited number of departments of biostatistics in Japan, and there has been a shortage of resources in biostatistics.
Research and Education
Major research fields are biostatistics methodology and conducts of epidemiologic studies and clinical trials. In methodological work, new epidemiologic study designs which are efficient and convenient are investigated for providing new sampling and analysis methods. Causal inference is the most challenging methodological research field. Estimation of causal parameters in experimental and observational studies is developing. Several collaborative studies in epidemiology and clinical trials are ongoing. Department of Biostatistics offers “Fundamentals of Biostatistics”, “Introduction to Statistical Computing and Data Management”, “Statistical Methods in Observational Studies”, “Intermediate Biostatistics”, and “Health Data Processing Laboratory”. We give introduction to concepts of randomization, causal effects, and confounding, designs of clinical trials and observational studies. Topics include randomization, experimentation, measurement, probability, confidence intervals, and tests of hypotheses.
Recent Publications
- Sato T. Comment on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations.” Statistics in Biopharmaceutical Research 2021; 13: 26-27.
- Odani M, Fukinbara S, Sato T. A Bayesian meta-analytic approach for safety signal detection in randomized clinical trials. Clinical Trials 2017;14: 192-200.
- Komamine M, Fujimura Y, Nitta Y, Omiya M, Doi M, Sato T. Characteristics of hospital differences in missing of clinical laboratory test results in a multi‑hospital observational database contributing to MID‑NET® in Japan. BMC Medical Informatics and Decision Making 2021; 21: 181.
- Goto Y, Mandai M, Nakayama T, Yamazaki S, Nakayama S, Isobe T, Sato T, Nitta H. Birthweight decreases with prenatal maternal blood lead levels below 1.0 μg per deciliter in the Japan Environment and Children’s Study. International Journal of Epidemiology 2021; 50: 156-164.
- Odani M, Fukinbara S, Sato T. A Bayesian meta-analytic approach for safety signal detection in randomized clinical trials. Clinical Trials 2017;14: 192-200.
Laboratory
Professor Tosiya Sato, Ph.D.