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Stat Med. 2016 Dec 20;35(29):5477-5494. doi: 10.1002/sim.7075. Epub 2016 Aug 16.

Estimating relative risk of a log-transformed exposure measured in pools.

Author information

1
Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, 20892, Maryland, U.S.A.
2
Program in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, 20892, Maryland, U.S.A.

Abstract

Pooling biospecimens prior to performing laboratory assays is a useful tool to reduce costs, achieve minimum volume requirements and mitigate assay measurement error. When estimating the risk of a continuous, pooled exposure on a binary outcome, specialized statistical techniques are required. Current methods include a regression calibration approach, where the expectation of the individual-level exposure is calculated by adjusting the observed pooled measurement with additional covariate data. While this method employs a linear regression calibration model, we propose an alternative model that can accommodate log-linear relationships between the exposure and predictive covariates. The proposed model permits direct estimation of the relative risk associated with a log-transformation of an exposure measured in pools. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

KEYWORDS:

biomarkers; design; log-transformation; pooled specimens; regression calibration

PMID:
27530506
PMCID:
PMC5118194
DOI:
10.1002/sim.7075
[Indexed for MEDLINE]
Free PMC Article

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