Curriculum Vitae

Author

Keisuke Hanada

Published

April 3, 2026

Contact Information

Working Experience

  • 2025/4 - Present: Assistant Professor,
    Faculty of Medicine, Wakayama Medical University
  • 2024/4 - 2025/3: Specially Appointed Assistant Professor,
    Graduate School of Engineering Science, Osaka University
  • 2019/4 - 2024/2: Biostatistician,
    Biometrics Department, Kyowa Kirin Co., Ltd

Education

  • 2020/4 - 2024/3: Ph.D. in Data Science, Shiga University
    Supervisor: Dr. Tomoyuki Sugimoto
  • 2017/4 - 2019/3: M.S. in the Graduate School of Science and Engineering, Kagoshima University
    Supervisor: Dr. Tomoyuki Sugimoto
  • 2013/4 - 2017/3: B.Sc. Tech. in Faculty of Science and Technology, Hirosaki University
    Supervisor: Dr. Kimitoshi Tsutaya

Grants and Funding

  • 2026/5 - 2031/3: Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Early-Career Scientists [Principal Investigator]
  • 2024/7 - 2026/3: Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Research Activity Start-up [Principal Investigator]
  • 2024/4 - 2027/3: Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (C) [Co-Investigator]

Awards

  1. Best Presentation Award for Young Researcher (regular membership category), Annual meeting of The Biometric Society of Japan, 2025.

Teaching Experience

  • 2025 Statistics Fundamentals (Wakayama Medical University)
  • 2025 Statistical Lectures (Meiji Pharmaceutical University Regulatory Science Laboratory)

Academic Service

  • Peer Review
    • Japanese Journal of Statistics and Data Science
    • Journal of the Royal Statistical Society: Series C (Applied Statistics)
    • Journal of the Japan Statistical Society, Japanese Issue

Research Publications

Peer-Reviewed Methodological Articles

  1. ., & Kojima, M. (2026+). Random Effect Restricted Mean Survival Time Model. Journal of Biopharmaceutical Statistics, accepted for publication.
  2. Kojima, M., Orihara, S., ., & Ohigashi, T. (2026). Sample size re-estimation in blinded hybrid-control design using inverse probability weighting. Statistics in Medicine, 45(3-5), e70429.
  3. Kojima, M., Mano, H., Yamada, K., ., Tanaka, Y., & Moriya, J. (2025). Adjusting confidence intervals under covariate-adaptive randomization in non-inferiority and equivalence trials. Contemporary Clinical Trials, 158, 108099.
  4. ., Moriya, J., & Kojima, M. (2024). Comparison of baseline covariate adjustment methods for restricted mean survival time. Contemporary Clinical Trials, 138, 107440.
  5. ., & Sugimoto, T. (2024). Meta-Analysis for Time-to-event Outcome Based on Restored Individual Participant Data and Summary Statistics. Japanese Journal of Biometrics, 45(1), 115-131. (in Japanese)
  6. ., & Sugimoto, T. (2023). Inference using an exact distribution of test statistic for random-effects meta-analysis. Annals of the Institute of Statistical Mathematics, 75(2), 281-302.

Clinical Researches

  1. Sagan, K., Kojima, F., Matsuzaki, I., Hanada, K., Musangile, F. Y., Nakamoto, T., Hayashi, H., Ohe, C., Ohashi, R., Nagashima, Y., Kohjimoto, Y. & Murata, S. I. (2026). Clear Cell Papillary Renal Cell Tumor Revisited: Comparison of Histologic and Immunohistochemical Profiles in Relation to: VHL: Allelic Status. The American Journal of Surgical Pathology, 10-1097.
  2. Kitadani, J., Hayata, K., Goda, T., Tominaga, S., Fukuda, N., Nakai, T., Nagano, S., . & Kawai, M. (2026). Impact of intraoperative nerve integrity monitoring on recurrent laryngeal nerve paralysis in minimally invasive esophagectomy for esophageal cancer: a propensity score-matched analysis. Surgical Endoscopy, 1-10.
  3. Hirano, S., ., & Maeda, H. (2025). Potential surrogate endpoint for B-cell hematologic malignancy: A systematic review and meta-analysis. Scientific reports, 19300.

Submitted Manuscripts

  1. ., Shimokawa, T., & Maruo. K. (2026). Differentially Private One-Shot Federated Inference for Linear Mixed Models via Lossless Likelihood Reconstruction. arXiv preprint arXiv:2604.00410, submitted.
  2. Yamada, K., Sunami, H., Takeda, K., ., & Kojima, M. (2026). Hybrid Non-informative and Informative Prior Model-assisted Designs for Mid-trial Dose Insertion. arXiv preprint arXiv:2602.17995, submitted.
  3. Kojima, M., ., & Sato, A. (2025). A Clustering Approach for Basket Trials Based on Treatment Response Trajectories. arXiv preprint arXiv:2511.09890, submitted.
  4. ., & Sugimoto, T. (2025). Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies. arXiv preprint arXiv:2508.08758, submitted.
  5. ., & Kojima, M. (2024). Bayesian Parametric Methods for Deriving Distribution of Restricted Mean Survival Time. arXiv preprint arXiv:2406.06071, submitted.

Talk at International Conference

  1. ., & Sugimoto, T. (2025). Random-effects meta-analysis via generalized linear mixed models (GLMMs) for few studies, The 13th Conference of the IASC-ARS, Ho Chi Minh City.
  2. ., & Kojima, M. (2025). Integrate Meta-analysis into Specific Study for Estimating Conditional Average Treatment Effect, Joint Statistical Meeting 2025, Nashville.
  3. ., & Sugimoto, T. (2019). Non-Asymptotic Properties and Behaviors for Random-Effects Meta-Analysis When the Number of Studies Is Small, The VI-th International Symposium on Biopharmaceutical Statistics, Kyoto.

Software

  1. metaGLMM: meta-analysis using generalized linear mixed effects model with aggregate data. R package. Available at: https://github.com/keisuke-hanada/metaGLMM
  2. rmstBayespara: Bayesian Restricted Mean Survival Time for Cluster Effect. R package. Available at: https://cran.r-project.org/web/packages/rmstBayespara/
  3. metaMest: meta-analysis by M-estimator based approach. R package. Available at: https://github.com/keisuke-hanada/metaMest

Copyright by Keisuke Hanada