Abstract Details
Activity Number:
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8
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Type:
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Invited
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Date/Time:
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Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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Abstract #310782
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View Presentation
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Title:
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Choosing Profile Double-Sampling Designs for Survival Estimation with Application to PEPFAR Evaluation
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Author(s):
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Ming-Wen An and Constantine E. Frangakis and Constantin T. Yiannoutsos*+
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Companies:
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Vassar College and Johns Hopkins University and Indiana University School of Public Health
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Keywords:
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double sampling ;
design ;
missing data ;
PEPFAR
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Abstract:
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Most studies that follow subjects over time are challenged by having some subjects who dropout. Double-sampling is a design that selects, and devotes resources to intensively pursue and find a subset of these dropouts; then uses data obtained from these to adjust naive estimates, which are potentially biased by the dropout. In limited-resource settings, generating accurate estimates using a minimum of resources is important. We propose using double-sampling designs that oversample certain profiles of dropouts as more efficient alternatives to random designs. First, we develop a framework to estimate the survival function under these profile double-sampling designs. We then derive the precision of these designs as a function of the rule for selecting different profiles, in order to identify more efficient designs. We illustrate using data from the United States President's Emergency Plan for AIDS Relief (PEPFAR)-funded HIV care and treatment program in western Kenya.
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Authors who are presenting talks have a * after their name.
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