JSM 2004 - Toronto

Abstract #301342

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Activity Number: 425
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #301342
Title: Permutation Tests in Assessing Survival Forests for Prognosis Based on Gene Profiles
Author(s): Van L. Parsons*+ and Thu Hoang
Companies: National Center for Health Statistics and Université René Descartes
Address: Office of Research and Methodology, Hyattsville, MD, 20782,
Keywords: bootstrap ; resampling ; tree ; survival analysis
Abstract:

Combinations of survival regression trees called survival forests (SF) applied to microarray data provide both prediction of individual survival functions and the corresponding ranking of variable importance although without assessment for the latter. A basic question is whether the structures of SF and resulting statistics can be attributed to chance alone. For small datasets, we propose the use of permutation tests as a way to determine significance of the SF performance, both for assessment of the fit and to test the significance of the genes identified as prognostic markers.

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