Abstract Number:
2416
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Poster
Participants:
Min Shi (1), David Umbach (2), Clarice Weinberg (1)
Institutions:
(1) NIEHS, N/A, (2) National Institute of Environmental Health Sciences, N/A
Co-Author(s):
David Umbach
National Institute of Environmental Health Sciences
First Author:
Presenting Author:
Abstract Text:
For case-control studies that assess risk from expensive-to-measure exposures like dioxin, mixing together ("pooling") biospecimens from sets of participants before assay saves money and conserves biospecimens. Large cohort studies can reduce assay costs through case-cohort analyses, where specimens from a random sample of all cohort participants, called the "subcohort", plus a random sample of cases not in the subcohort are assayed. Use of pooling for case-cohort analyses promises further savings but remains unstudied. This paper develops and evaluates a pooling strategy and a corresponding data-analysis method for using biospecimen pooling for case-cohort analyses in large cohort studies that relate biospecimen-based exposure measures to risk of disease. Our proposed strategy constructs pooling sets for cases not in the subcohort after grouping them according to time of diagnosis, and constructs pooling sets separately for members of the subcohort, grouping them on age at entry. We performed simulation studies to evaluate the performance of our approach for for cohorts and subcohorts of various sizes.
Keywords:
pooling|case-cohort study|cohort study| | |
Sponsors:
Section on Statistics in Epidemiology
Tracks:
Statistical Issues in Environmental Epidemiology
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