Mithat Gönen, PhD

Chief, Biostatistics Service

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Pictured: Mithat Gönen

Office Phone

646-888-8238

Education

Texas Tech University

Dr. Gönen has been at MSK since 1999 and has been serving as Chief of the Biostatistics Service since 2015. His translational and clinical collaborations focus on surgical treatment of gastrointestinal and hepatobiliary cancers, response evaluation and imaging endpoints for clinical trials and biomarker development. Most of Dr. Gönen’s methodological research originates from these collaborations, including building, assessing and comparing prognostic and predictive models, design and analysis of clinical trials and imaging studies, as well as Bayesian methods. He is a recent awardee of the Foundation for NIH to study alternative response metrics in cancer clinical trials and the author of a book on the use of receiver operating characteristic curves using SAS®. Dr. Gönen served a co-director of the AACR/ASCO Vail Workshop on Methods in Clinical Cancer Research from 2011 to 2013 and was a member of ASCO’s Cancer Research Committee from 2012 to 2014. He has been serving the Society for Clinical Trials (SCT) in various roles: Program Chair for the 2012 Annual Meeting, deputy editor of Clinical Trials: Journal of the Society for Clinical Trials, member of the board of directors, member of the executive committee and, most recently, as President-Elect. Dr. Gönen is a fellow of the American Statistical Association (ASA), a fellow of the SCT, and a member of the board of reviewing editors for Science in Translational Medicine. He served the International Biometric Society as the Program Chair for its North America meeting in 2015.

Publications

Selected peer-reviewed publications:

  1. Capanu M, Giurcanu M, Begg CB, Gönen M. Optimized variable selection via repeated data splitting. Stat Med. 2020 Apr 13. doi: 10.1002/sim.8538. [Epub ahead of print] PubMed PMID: 32282097.
  2. Carlsson SV, Gönen M. Towards Wiser Use and Interpretation of P Values. J Sex Med. 2020 Jan;17(1):1-3. doi: 10.1016/j.jsxm.2019.09.021. PubMed PMID: 31870486.
  3. Li Y, Schofield E, Gönen M. A tutorial on Dirichlet Process mixture modeling. J Math Psychol. 2019 Aug;91:128-144. doi: 10.1016/j.jmp.2019.04.004. Epub 2019 May 20. PubMed PMID: 31217637; PubMed Central PMCID: PMC6583910.
  4. van Klaveren D, Steyerberg EW, Gönen M, Vergouwe Y. The calibrated model-based concordance improved assessment of discriminative ability in patient clusters of limited sample size. Diagn Progn Res. 2019 Jun 6;3:11. doi: 10.1186/s41512-019-0055-8. eCollection 2019. PubMed PMID: 31183411; PubMed Central PMCID: PMC6551913.
  5. Gönen M, Johnson WO, Lu Y, Westfall PH. Comparing Objective and Subjective Bayes Factors for the Two-Sample Comparison: The Classification Theorem in Action. Am Stat. 2019;73(1):22-31. doi: 10.1080/00031305.2017.1322142. Epub 2018 May 10. PubMed PMID: 30905968; PubMed Central PMCID: PMC6424525.  

Visit PubMed for a full listing of Mithat Gönen’s journal articles

Pubmed is an online index of biomedical articles maintained by the U.S. National Library of Medicine and the National Institutes of Health.