Online Program Home
My Program

Abstract Details

Activity Number: 53
Type: Invited
Date/Time: Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #318017
Title: New Integrative Paradigms of Personalized Medicine for Cancer
Author(s): Kim-Anh Do* and Veera Baladandayuthapani and Francesco Stingo and Min Jin Ha and Thierry Chekouo Tekougang
Companies: MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center
Keywords: Statistical methodology ; integration ; high-dimensional omics data ; The Canner Genome Atlas ; genetics ; genomics

There is a pressing need to integrate innovative methodologies to improve clinical trials in the setting of small sample population groups. The objective of this talk is to present research that produces methods of general applicability as developed through multidisciplinary and close collaborations among researchers from universities, research institutes, and industry. I will discuss: (1) Efficient statistical methodology and methods of assessment, obtained by combining and enhancing existing methods or developing new methods, are needed in clinical trials to address the questions: (a) Do we have a motive and opportunity for data integration? (b) What are the key components of data integration? (c) Do we have the means to address the precision medicine challenge? An overview will focus on data integration in functional genetics and genomics. (2) Motivated by specific problems involving high throughput omics data, our team in biostatistics and collaborators have developed computer-intensive statistical methods for real-time analysis. I will describe specific examples that integrate at least two omics platforms and highlight the applications of developed methods to TCGA data

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association