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Positions:
Professor of Medicine, Epidemiology and Biostatistics, Cleveland Clinic Lerner College of Medicine Education: Honors/Service: |
Key Interests:
Dr. Kattan is interested in the development, validation, and use of prediction models. He has developed several such models in cancer and released them as freely available software, from http://www.nomograms.org. Dr. Kattan is also interested in quality of life assessment to support medical decision making, such as utility assessment. He is also interested in decision analysis and cost-effectiveness analysis.
Selected Publications:
(Click here for complete PubMed listing)
Kattan MW. Judging new markers by their ability to improve predictive accuracy. J Natl Cancer Inst. 2003;95:634-635.
Kattan MW, Heller G, Brennan MF. A competing-risks nomogram for sarcoma-specific death following local recurrence. Stat Med 2003; 22: 3515-3525.
Kattan MW. Comparison of Cox regression with other methods for determining prediction models and nomograms. J Urol 2003; 170: S6-S10.
Littenberg B, Partilo S, Licata A, Kattan MW. Paper Standard Gamble: The reliability of a paper questionnaire to assess utility. Medical Decision Making 2003; 23(6): 480-488.
Kattan MW. Comparing treatment outcomes using utility assessment for health-related quality of life. Oncology 2003; 17(12): 1687-1693.
Kattan MW. Evaluating a new marker’s predictive contribution. Clin Can Res 2004; 10: 882-824.
Kattan MW, Vickers AJ. Incorporating predictions of individual patient risk in clinical trials. Urol Oncol. 2004 Jul-Aug;22(4):348-52.
Vickers AJ, Kattan MW, Sargent D. Method for evaluating prediction models that apply the results of randomized trials to individual patients. Trials. 2007 June 5;8(1):14.
Nam RK, Toi, A, Klotz LK, Trachtenberg J, Jewett MAS, Appu S, Loblaw DA, Sugar L, Narod SA, Kattan MW. Assessing individual risk for prostate cancer. J Clin Oncol. 2007 Aug 20;25(24):3582-3588.
Heller G, Kattan MW, Scher HI. Improving the decision to pursue a phase 3 clinical trial by adjusting for patient-specific factors in evaluating phase 2 treatment efficacy data. Med Decis Making. 2007, Jul-Aug;27(4):380-386.
Patents: