Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits

• Published in: Statistics in medicine Vol. 30; no. 20; pp. 2551 - 2561
• Main Authors: May, Ryan C., Ibrahim, Joseph G., Chu, Haitao
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 10.09.2011; Wiley Subscription Services, Inc
• Subjects: Algorithms; Computer Simulation; Data analysis; EM algorithm; Gibbs sampling; Humans; Likelihood Functions; Limit of Detection; Linear Models; logistic regression; Male; maximum likelihood estimation; Maximum likelihood method; Medical statistics; Metals, Heavy - urine; Monte Carlo EM; Monte Carlo Method; Monte Carlo simulation; Neoplasms - urine; NHANES; Urology; NHANES; Gibbs sampling; logistic regression; EM algorithm; maximum likelihood estimation; Monte Carlo EM
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.4280

The analysis of data subject to detection limits is becoming increasingly necessary in many environmental and laboratory studies. Covariates subject to detection limits are often left censored because of a measurement device having a minimal lower limit of detection. In this paper, we propose a Mont...