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Biostatistics and Bioinformatics Lab
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The lab studies biostatistics, focusing on the design and analysis of clinical trials and epidemiological studies.
AboutAbout the lab
Training biostatisticians who support clinical research
The Biostatistics and Bioinformatics Lab studies biostatistics, an applied field of statistics focused on medicine and health.
The lab works on methodology: how to plan clinical and epidemiological studies, and how to analyze the data collected in them.
The lab is part of the Graduate School of Medicine and exists to train biostatisticians who carry out the practical work of designing and analyzing clinical research. Together with the biostatistics field of the Graduate School of Medicine, it runs the Biostatistics and Bioinformatics Course of the Graduate School of Interdisciplinary Information Studies.
In addition to lectures, the lab works with The University of Tokyo Hospital and the National Cancer Center Japan to provide hands-on training in which students gain experience with actual clinical research work.
Key terms
- Biostatistics
- Statistics applied to medicine and health. It studies how to plan clinical research and how to analyze its data.
- Pharmacoepidemiology
- The study of how drugs are used in human populations and what effects and impacts they have.
- Clinical Epidemiology
- The study of the course of diseases and the effects of treatments using data from groups of patients. It provides the foundation for evidence-based medicine.
NewsLab news
A paper by a graduate was published in Drugs – Real World Outcomes
A paper by a graduate was published in Statistics in Medicine
A paper by a graduate was published in Journal of Medical Systems
A doctoral program will be newly established in the Biostatistics and Bioinformatics Course from April 2026
ResearchResearch themes
The lab studies study design and statistical analysis methodology to make clinical trials and epidemiological studies more efficient and more accurate. It also conducts research using medical data obtained from hospital information systems and electronic medical records.
*Illustrative imageStatistical Methods for Clinical Trials and Epidemiological Studies
The lab studies designs that allow clinical trials and epidemiological studies to be conducted more efficiently under a variety of conditions, as well as statistical methodology for evaluating and estimating the effects of treatments and exposures with high precision.
*Illustrative imagePharmacoepidemiology
The lab studies how drugs are used in human populations and what effects and impacts they have. Using drug-use data obtained from hospital information systems and electronic medical records, it examines effectiveness, risk, and cost.
*Illustrative imageClinical Epidemiology
The lab conducts research in clinical epidemiology, the discipline that provides the foundation for practicing evidence-based medicine (EBM).
MembersFaculty
The members of the Biostatistics and Bioinformatics Lab consist of faculty members, project researchers, administrative assistants, technical assistants, and academic specialists.As of 2026
- ProfessorYutaka Matsuyama
- Project ProfessorDaisuke KoidePublications ↗
- ProfessorKoji Oba
- Associate ProfessorKohei UemuraPublications ↗
- Project Associate ProfessorShogo NomuraPublications ↗
- Associate ProfessorTomohiro Shinozaki
- Project Assistant ProfessorKaeko Makido
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Clinical Trial Participant Receives Injection ( )” NIAID / CC BY 2.0 (cropped)
- Statistical Methods for Clinical Trials and Epidemiological Studies: “Km plot” Deanne Taylor (made and original to submitter) / Public domain (cropped)
- Pharmacoepidemiology: “Satellite Pharmacy serves the KMC (7976141)” U.S. Air Force photo by Airman Trevor Calvert / Public domain (cropped)
- Clinical Epidemiology: “EBMfr” Antivolt / CC BY-SA 3.0 (cropped)
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