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Discovering the causes of cancer and the means of prevention
 

Personalized Treatment Plans with Multivariate Outcome Measures - Dr. Somnath Datta

DCEG Events

June 12, 2019 | 10:30 AM – 11:30 AM

NCI Shady Grove Rockville, MD

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BIOSTATISTICS BRANCH SEMINAR SERIES PRESENTS

Speaker
Somnath Datta, Ph.D.
Professor, Department of Biostatistics
University of Florida

Abstract
In this talk, the speaker proposes a novel method for individualized treatment selection when the treatment response is multivariate. This method covers multiple (any number) of treatments and it can be applied for a broad set of models. The key idea to handle multivariate response is to  employ a rank aggregation technique to estimate an ordering of treatments based on ranked lists of treatment performance measures such as smooth conditional means and conditional probability of a response for one treatment dominating others. An empirical study demonstrates the performance of the proposed method in finite samples. Finally, the procedure will be illustrated using a real-life dataset on a HIV clinical trial.

**The mission of the Biostatistics Branch (BB) is to be an outstanding biostatistics unit that can contribute to the understanding of cancer etiology and to improve public health by the development and application of quantitative methods. The BB Investigators develop statistical methods and data resources to strengthen observational studies, intervention trials, and laboratory investigations of cancer.**