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Activity Number:
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583
- Statistical Applications in Observational Studies
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Type:
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Contributed
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Date/Time:
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Wednesday, August 2, 2017 : 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 #323669
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View Presentation
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Title:
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On Sensitivity Value of Pair-Matched Observational Studies
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Author(s):
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Qingyuan Zhao*
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Companies:
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University of Pennsylvania
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Keywords:
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effect modification ;
genomics screening ;
signed score test ;
study design ;
U-statistics
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Abstract:
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An observational study may be biased by failing to control for unmeasured covariates. A sensitivity analysis asks how susceptible the conclusion of a naive analysis is to possible unmeasured confounders. This paper proposes a new quantity called the "sensitivity value", which is defined as the magnitude of departure from a randomized experiment needed to change the qualitative conclusions. We establish the asymptotic normality of the sensitivity value in pair-matched observational studies. The theoretical results are used to compute the power of a sensitivity analysis and select the design of a study. We explore the potential to use sensitivity values to screen multiple hypotheses using a microarray dataset and find it is robust against unobserved confounding.
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Authors who are presenting talks have a * after their name.
