Linear regression with left-censored covariates and outcome using a pseudolikelihood approach

DOI10.1002/ENV.2536zbMATH Open1545.62821MaRDI QIDQ6626019

Michael P. Jones

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

toxicologypolychlorinated biphenylslimit of quantificationenvironmental exposure

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Estimation of Relationships for Limited Dependent Variables
• Maximum pairwise pseudo-likelihood estimation of the covariance matrix from left-censored data
• Pseudo-likelihood estimation of multivariate normal parameters in the presence of left-censored data
• Pseudo maximum likelihood estimation: Theory and applications
• Covariance matrix estimation for left-censored data
• Mixed Effects Models with Censored Data with Application to HIV RNA Levels
• Analysis of left-censored longitudinal data with application to viral load in HIV infection

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