Regression for skewed biomarker outcomes subject to pooling

DOI10.1111/biom.12134zbMath1419.62411OpenAlexW1577630157WikidataQ30576258 ScholiaQ30576258MaRDI QIDQ4979251

Neil J. Perkins, Amita K. Manatunga, Michelle R. Danaher, Robert H. Lyles, Enrique F. Schisterman, Emily M. Mitchell

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3988986

zbMATH Keywords

designefficiencyskewnessbiomarkersMCEMpooled specimens

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (10)

Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments ⋮ Single-index regression for pooled biomarker data ⋮ Group testing case identification with biomarker information ⋮ A sequential decoding procedure for pooled quantitative measure ⋮ Additive partially linear model for pooled biomonitoring data ⋮ Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on NHANES Pooled Biomonitoring Data ⋮ Varying‐coefficient regression analysis for pooled biomonitoring ⋮ Gaussian copula regression modeling for marker classification metrics with competing risk outcomes ⋮ Statistical methods for analysis of combined categorical biomarker data from multiple studies ⋮ Local polynomial regression for pooled response data

Cites Work

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• Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach
• Numerical Analysis for Statisticians
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
• Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples

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