Curriculum Vitae

Author

Keisuke Hanada

Published

July 2, 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

  • 2026/4 - 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.
  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. Nakayama, Y., Kume, K., Baba, T., Ayaki, T., ., Miyamoto, K., Inoue, N., Kawakami, H., Ito, H. (2026). Neuropathological and Molecular Features Associated With a Heterozygous DNAJC7 Mutation in Amyotrophic Lateral Sclerosis. Neuropathology and Applied Neurobiology, 52(4), e70086.
  2. Itonaga, M., Ashida, R., Tamura, T., Yamashita, Y., Kawaji, Y., Shishimoto, T., Morishita, M., ., Kojima, F., & Kitano, M. (2026). Comparison of Nanoliposomal Irinotecan Plus Fluorouracil/Leucovorin and S‐1, Irinotecan, and Oxaliplatin as Second‐Line Chemotherapy After Gemcitabine Plus Nab‐Paclitaxel for Unresectable Pancreatic Cancer. Journal of Hepato‐Biliary‐Pancreatic Sciences, 1-11.
  3. Sagan, K., Kojima, F., Matsuzaki, I., ., 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.
  4. 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.
  5. 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