This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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84
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Type:
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Contributed
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Date/Time:
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Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #308053 |
Title:
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Comparison of the Effectiveness of Three Novel Statistical Methods for Biomarker Selection with Application to an HIV Infection Data Set
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Author(s):
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Bosny J. Pierre-Louis*+
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Companies:
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The University of North Carolina at Chapel Hill
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Address:
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McGavran-Greenberg Hall, CB # 7420, Chapel Hill, NC, 27599-7400,
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Keywords:
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Biomarker selection ;
Variable importance measure ;
targeted maximum likelihood ;
generalized propensity score ;
incremental value estimation ;
causal inference
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Abstract:
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We consider the selection of biomarkers from a pool of candidates, based on inference from variable importance measures (VIM). We compare three approaches to estimating VIM: Targeted maximum likelihood estimation (TMLE), flexible propensity score weighting (PSW), and incremental value estimation based on partial area under the Receiver-Operating Characteristic (ROC) curve. Simulation studies suggest that TMLE and PSW outperform the incremental value technique, notably in small and moderate sample sizes. We apply these methods to a dataset from the Genital Shedding and HIV Infection (GS-HIV) study to select, among many candidate biomarkers, the best subset that is significantly associated with CD4 cell count.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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