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Abstract Details
Activity Number:
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412
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #305271 |
Title:
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Covariate Measurement Error Methods in Mediation Analysis with Failure Time Data
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Author(s):
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Shanshan Zhao*+ and Ross Prentice
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Companies:
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University of Washington and Fred Hutchinson Cancer Research Center
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Address:
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3716 NE 75th St., Seattle, WA, 98115, United States
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Keywords:
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Measurement Error ;
Failure Time ;
Mediation Analysis ;
Biomarker ;
Women's Health
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Abstract:
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Biomarker data have been used to understand the biological pathways through which a treatment affects outcomes in randomized clinical trials. However, when biomarkers are measured with error, its mediation assessment may be distorted. Traditional correction methods do not extend easily to failure time outcomes. We propose calibration procedure based on induced hazard function to correct for bias caused by measurement error in the mediator. This method allows covariate distribution to vary over time and differ between treatment arms, and involves an approximation to the partial likelihood. This method is applicable to both technical measurement error and to error defined as variation from a long-term covariate mean. Simulation results show that the treatment effect biases of the 'naïve' approach are much reduced by this calibration. This method is illustrated through biomarker studies in the Women's Health Initiative postmenopausal hormone therapy trial.
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