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Office Phone:646-735-8111
E-mail:gonenm@mskcc.org
Education:Texas Tech University

Mithat Gonen
Mithat Gonen, PhD
Associate Attending Biostatistician

Current Research:

Dr. Gönen's clinical collaborations focus on surgical and oncological treatment of gastorintestinal and hepatobiliary cancers. His joint work with medical oncologists involves the development of cyclin dependent kinase inhibitors for treating solid tumors and studies of hepatic arterial infusion in patients with metastatic colorectal cancer. His collaborations with surgical oncologists include a series of studies evaluating the impact of blood transfusions on patient outcome and devising alternative strategies to blood management. He also has a long-standing collaboration with Nuclear Medicine which encompasses the development of Positron Emission Tomography (PET) in cancer diagnosis.

Most of Dr Gönen's methodological research originates from these collaborations. These include design and analysis of radiologic studies with clustered data, Phase I and Phase II clinical trial design as well as predictive modeling and assessment of multiple endpoints, mostly in retrospective surgical. He is also interested in prior elicitation methods for randomized clinical trials.


Selected Bibliography:

  1. Gönen M, Panageas KS, Larson SM. Statistical issues in the analysis of diagnostic imaging experiments with multiple observations per patient. Radiology 2001;221:763-767.

  2. Gönen M, Hummer A, Zervoudakis A, Sullivan D, Fong Y, Banerjee D, Klimstra D, Cordon-Cardo C, Bertino J, Kemeny N. Thymidylate synthase expression in hepatic tumors is a predictor of survival and progression in patients with resectable metastatic colorectal cancer. Journal of Clinical Oncology 2003;21:406-412.

  3. Gönen M, Westfall PH, Johnson WO. Bayesian multiple testing for two-sample multivariate endpoints. Biometrics. 2003;59:76-82.

  4. Gönen M, Johnson WO, Lu Y, Westfall PH. A Bayesian two-sample t-test. The American Statistician 2005;59:252-257.

  5. Gönen M, Heller G. Concordance Probability and Discriminative Power of Proportional Hazards Regression. Biometrika 2005;92:965-970.
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