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Biostatistics Lab
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The lab develops and evaluates statistical methods used in medical research.
AboutAbout the lab
Applied statistics for medicine and biology.
The Biostatistics Lab conducts research to answer statistical problems that arise in medicine, biology, pharmacy, and health science research.
Statistics is not just about data analysis; it is needed at every stage of research, from planning to reporting.
The lab develops new statistical methods, studies how methods perform and when to use which, and conducts applied research that uses statistical methods in medical and biological studies.
Faculty members of the lab also work as trial statisticians at the Tsukuba Clinical Research and Development Organization at the University of Tsukuba, where they are involved in trial design, statistical analysis, and statistical consulting.
Key terms
- Clinical trial
- A study planned and conducted to verify or explore the efficacy and safety of a compound.
- Sample size
- The number of subjects examined in a study (the size of the sample). Whether it is necessary and sufficient is considered at the planning stage.
- Missing data
- Data in which some of the values that should have been measured were not obtained.
NewsLab news
Paper on geess, an R package for analyzing small-sample longitudinal data, published in the Journal of the Japanese Society of Computational Statistics
Received the Biometric Society of Japan 2026 Encouragement Award
Paper on boutliers, an R package for detecting outliers in meta-analysis, published in Stats
Paper on hybrid control designs published in Statistics in Biopharmaceutical Research
Paper on boinet, an R package for dose-finding, published in The R Journal
ResearchResearch themes
In medical and biological research, statistics is needed at every stage: planning, conducting, analyzing, and reporting. To solve the statistical problems that arise from study planning through reporting, the lab carries out both methodological research and applied research.
*Illustrative imageDeveloping and evaluating new statistical methods
The lab develops new statistical methods, evaluates the performance of existing ones, studies how to choose among them and what to watch for when applying them, and writes reviews. Topics include sample size determination, analysis of longitudinal and missing data, and adaptive designs.
*Illustrative imageParticipating in medical research as statistical experts
The lab takes part in clinical trials and observational studies as biostatistics experts, working on study design, data analysis, and reporting of results. Faculty members also handle trial planning and statistical consulting at the Tsukuba Clinical Research and Development Organization.
MembersFaculty
The members of the Biostatistics Lab are faculty, part-time researchers, and PhD and master's students.As of 2026
- ProfessorMasahiko Gosho
- Associate ProfessorKazushi Maruo
- Assistant ProfessorRyota Ishii
- Project LecturerKensuke Shimada
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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: “Bottle of Assorted Pills” ParentingPatch / CC BY-SA 3.0 (cropped)
- Developing and evaluating new statistical methods: “Mechanical-calculator-Brunsviga-15-01” CEphoto, Uwe Aranas / CC BY-SA 3.0 (cropped)
- Participating in medical research as statistical experts: “NIH Clinical Center Atrium ( )” NIH Image Gallery from Bethesda, Maryland, USA / Public domain (cropped)
- Related lab (Hematology Lab): “Eosinophil blood smear” Bobjgalindo / CC BY-SA 4.0 (cropped)
- Related lab (Digital Behavioral Science Lab (WPI-IIIS)): “Single person cabin in the night train from Budapest to Berlin” Alex Sirac / CC BY 4.0 (cropped)
- Related lab (Cardiovascular Medicine Lab): “Medical Equipment at Government General Hospital Mahbubnagar Telangana” Kavali Chandrakanth KCK / CC BY-SA 4.0 (cropped)
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