This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 463
Type: Topic Contributed
Date/Time: Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #307786
Title: Multiple Decision Functions and High-Dimensional Failure Time Data
Author(s): Edsel A. Pena*+ and Joshua D. Habiger and Wensong Wu
Companies: University of South Carolina and National Agricultural Statistics Service/National Institute of Statistical Sciences and University of South Carolina
Address: Department of Statistics, Columbia, SC, 29208,
Keywords: Multiple testing; high-dimensional data; family wise error rate; false discovery rate.

In this talk we present exploratory ideas and new procedures for multiple decision problems using high-dimensional failure data arising in biology, medicine, economics, and engineering. Of interest is how to choose the important explanatory variables from a collection of variables to predict an event time. The decision will be based on, possibly right-censored, event times. In such problems it is imperative that the issue of multiplicity be considered. Consequently, the multiple decision functions of interest are those which control, either weakly or strongly, family wise error rate (FWER) and false discovery rate (FDR). We describe general classes of multiple decision functions controlling FWER and FDR. We also partially address optimality issues.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.