Satoshi 　Morita, 　PhD

 

Title and Affiliation
Primary Appointment

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

Deputy Director of Institute for Advancement of Clinical and Translational Science and Head of Department of Clinical Trial Science, Kyoto University Hospital

 

Contact Information

E-mail:
Office: +81-75-751-4717, Fax: +81-75-751-4767
Mailing address: 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan

Biography

Satoshi Morita received his Ph.D. in Biostatistics from the School of Public Health at The University of Tokyo in 2003. Currently, He is working as Professor and Chairman of

-Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine
-Department of Clinical Trial Science, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital.

His research interests include Bayesian statistics and clinical trial design. Over the course of his career, he has designed over 100 clinical trials in oncology and other areas. He has published over 500 research papers and book chapters in statistical and medical literature. He serves as an advisory expert for The Pharmaceutical and Medical Devices Agency (PMDA), a representative of Japan Society of Clinical Oncology, a biostatistical advisor for Japan Surgical Society, a statistical consultant of General Thoracic and Cardiovascular Surgery, an associate editor for Journal of Biopharmaceutical Statistics, and Respiratory Investigation, and an editorial board member for International Journal of Clinical Oncology, the Journal of Gastric Cancer, Digestive Endoscopy, the Japanese Association for Thoracic Surgery, Annals of Gastroenterological Surgery.

 

Research interests

Bayesian statistical methods
Clinical trial designs
Adaptive decision making in clinical trials

 

Curriculum Vitae

 

Degree, Education and Training

Ph.D. in Biostatistics from the School of Public Health at the University of Tokyo in 2003.
Visiting Assistant Professor, University of Texas, M. D. Anderson Cancer Center,　Department of Biostatistics and Applied Mathematics, 2005, Dec.～06, Mar.

 

Selected Publications
Peer-Reviewed Original Research Articles
  1. Morita S, Mueller P, Abe H. A semiparametric Bayesian approach to population finding with time-to-event and toxicity data in a randomized clinical trial. Biometrics. 77: 634-648, 2021.
  2. Morita S, Mueller P. Bayesian population finding with biomarkers in a randomized clinical trial. Biometrics, 73, 1355–1365, 2017.
  3. Kikuchi T, Morizane A, Doi D, Magotani H, Onoe H, Hayashi T, Mizuma H, Takahashi R, Inoue H, Morita S, Yamamoto M, Okita K, Nakagawa M, Parmar M, Takahashi J. Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease model. Nature. 548: 592-596, 2017.
  4. Morita S. Yamamoto H, Sugitani Y. Biomarker-based Bayesian randomized phase II clinical trial design to identify a sensitive patient subpopulation. Stat Med 33: 4008-4018, 2014.
  5. Morita S, Thall PF, and Mueller P. Prior effective sample size in conditionally independent hierarchical models. Bayesian Analysis. 7: 591-614, 2012.
  6. Maemondo M, Inoue A, Kobayashi K, Sugawara S, Oizumi S, Isobe H, Gemma A, Harada M, Yoshizawa H, Kinoshita I, Fujita Y, Okinaga S, Hirano H, Yoshimori K, Harada T, Ogura T, Ando M, Miyazawa H, Tanaka T, Saijo Y, Hagiwara K, Morita S, Nukiwa T; North-East Japan Study Group. Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR. N Engl J Med. 362: 2380-8, 2010.
  7. Morita S, Okamoto I, Kobayashi K, Yamazaki K, Asahina H, Inoue A, Hagiwara K, Sunaga N, Yanagitani N, Hida T, Yoshida K, Hirashima T, Yasumoto K, Sugio K, Mitsudomi T, Fukuoka M, Nukiwa T. Combined survival analysis of prospective clinical trials of gefitinib for non-small cell lung cancer with EGFR mutations. Clin Cancer Res. 15: 4493-8, 2009.
  8. Morita S, Thall PF, Bekele BN, Mathew P. A Bayesian hierarchical mixture model for platelet derived growth factor receptor phosphorylation to improve estimation of progression-free survival in prostate cancer. Journal of the Royal Statistical Society, Series C (Applied Statistics). 59: 19-34, 2009.
  9. Morita S, Thall PF, Müller P. Determining the effective sample size of a parametric prior. Biometrics. 64: 595-602, 2008.

 

Other Publications

(See this PDF file)

Professional Memberships

International Biometric Society
Member, 2003-present

International Society of Clinical Biostatistics
Member, 2010-present

American Statistical Association
Member, 2011-present

Japan Society of Clinical Oncology
Member, 2006-present

Japan Society of Clinical Trials and Research
Member, 2017-present