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Activity Number:
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113
- Recent Advances in Design and Analysis of Two-Phase Studies
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Lifetime Data Analysis Interest Group
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Abstract #329939
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Title:
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Tracing Studies in Cohorts with Attrition: Selection Models for Efficient Sampling
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Author(s):
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Leilei Zeng* and Nathalie Moon and Richard John Cook
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Companies:
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University of Waterloo and University of Waterloo and University of Waterloo
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Keywords:
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attrition;
inception cohort;
Markov model;
selection model ;
sequentially missing at random
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Abstract:
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Cohort studies of chronic diseases involve recruitment and longitudinal follow-up of affected individuals with a view to studying the effect of risk factors on disease progression and death. When the time to withdrawal from the cohort is conditionally independent of the disease process the primary consequence is a loss of information on the parameters of interest. This loss can sometimes be mitigated through the conduct of tracing studies in which a subsample of those lost to follow-up are contacted and some information is obtained on their disease and survival status. We describe the use of selection models to sample individuals for tracing who will yield more efficient estimators than those obtained by simple random sampling. Efficient sampling schemes featuring cost constraints are also developed and shown to perform well. An application to data from the University of Toronto Psoriatic Arthritis Cohort illustrates how to apply the method in a real setting. This is a joint work with Nathalie Moon and Richard Cook.
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Authors who are presenting talks have a * after their name.
