Mithat Gönen, PhD

Attending Biostatistician
Pictured: Mithat Gönen
Office Phone:
646-735-8111
Education:
Texas Tech University

Current Research Interests

Dr. Gönen's clinical collaborations focus on surgical treatment of gastrointestinal and hepatobiliary cancers. He also has a long-standing collaboration with the Nuclear Medicine Service which encompasses the development of PET imaging in cancer diagnosis and prognosis. More recently he has worked on molecular classification and risk stratification of leukimias as well as mathematical models of tumor growth. Most of Dr Gönen's methodological research originates from these collaborations and includes building, assessing, and comparing predictive models; designing and analyzing of clinical trials and imaging studies; as well as using Bayesian methods. He is the author of a book on the use of receiver operating characteristic (ROC) curves using SAS®.

Dr. Gönen is a co-director of the AACR/ASCO Vail Workshop on Methods in Clinical Cancer Research and he is on the editorial boards of Clinical Trials and Gastrointestinal Cancer Research. He is the Program Chair for the 2012 meeting of the Society for Clinical Trials. He is also a member of the Advisory Board for the Eastern North American Region of the International Biometric Society and a member of the Committee on Continuing Education of the American Statistical Association.

Publications by Mithat Gönen

Gönen M, Schrag D, Weiser M. Nodal Staging Score: A Tool to Assess Adequate Staging of Node-Negative Colon Cancer. J Clin Oncol. 2009 Dec 20;27:6166-71.

Gönen M, Heller G. Lehmann Family of ROC Curves. Med Decis Making. 2010;30:509-517.

Gönen M. Optimal Bayesian Enrichment: A View from the Closet. Biometrics (invited discussion). 2011, Early view (June 2011).

Haeno H*, Gönen M*, Davis MB, Herman JM, Iacobuzio-Donahue CA, Michor F. Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies. Cell. 2012, 148:362-75.

Patil JP*, Gönen M*, Figueora ME, Fernandez H et al. Prognostic and Therapeutic Relevance of Integrated Genetic Profiling in Acute Myeloid Leukemia. New England Journal of Medicine, 2012.
* equal contribution