Ryuji Uozumi

 

Title and Affiliation
Primary Appointment

Assistant Professor, Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine

Assistant Professor, Department of Clinical Trial Science, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital

 

Employment
2014-2016: Research Assistant Professor, Kyoto University Graduate School of Medicine
2016-Present: Assistant Professor, Kyoto University Graduate School of Medicine

 

Research interests

Design and analysis of clinical trials

 

Selected Publications
  1. Uozumi, R., Yada, S., Maruo, K. and Kawaguchi, A. (2020) Confidence intervals for the difference between two binomial proportions derived from logistic regression. Communications in Statistics - Simulation and Computation, available online, doi: 10.1080/03610918.2019.1710195.
  2. Uozumi, R. and Hamada, C. (2019) Utility-based interim decision rule planning in adaptive population selection designs with survival endpoints. Statistics in Biopharmaceutical Research, available online, doi: 10.1080/19466315.2019.1689844.
  3. Uozumi, R., Yada, S. and Kawaguchi, A. (2019) Patient recruitment strategies for adaptive enrichment designs with time-to-event endpoints. BMC Medical Research Methodology, 19, 159.
    doi: 10.1186/s12874-019-0800-2.
  4. Uozumi, R. and Hamada, C. (2017) Adaptive seamless design for establishing pharmacokinetic and efficacy equivalence in developing biosimilars. Therapeutic Innovation & Regulatory Science, 51, 761-769, doi: 10.1177/2168479017706526.
  5. Uozumi, R. and Hamada, C. (2017) Interim decision making strategies in adaptive designs for population selection using time-to-event endpoints. Journal of Biopharmaceutical Statistics, 27, 84-100. doi: 10.1080/10543406.2016.1148714.
  6. Ohashi, Y., Hamada, C. and Uozumi, R. (2016) Advanced Survival Analysis –Biostatistics Using SAS (in Japanese). University of Tokyo Press.
Academic Community

The International Biometric Society
International Society for Clinical Biostatistics