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

Emily M. Mitchell, Torie C. Plowden, Enrique F. Schisterman

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)5477-5494
Number of pages18
JournalStatistics in Medicine
Volume35
Issue number29
DOIs
StatePublished - Dec 20 2016
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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