Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors.

ABSTRACT: Measuring a biomarker in pooled samples from multiple cases or controls can lead to cost-effective estimation of a covariate-adjusted odds ratio, particularly for expensive assays. But pooled measurements may be affected by assay-related measurement error (ME) and/or pooling-related processing error (PE), which can induce bias if ignored. Building on recently developed methods for a normal biomarker subject to additive errors, we present two related estimators for a right-skewed biomarker subject to multiplicative errors: one based on logistic regression and the other based on a Gamma discriminant function model. Applied to a reproductive health dataset with a right-skewed cytokine measured in pools of size 1 and 2, both methods suggest no association with spontaneous abortion. The fitted

SUBMITTER: Van Domelen DR 

PROVIDER: S-EPMC8035988 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature