Handling covariates subject to limits of detection in regression

• Published in: Environmental and ecological statistics Vol. 19; no. 3; pp. 369 - 391
• Main Authors: Arunajadai, Srikesh G, Rauh, Virginia A
• Format: Journal Article
• Language: English
• Published: Boston Springer-Verlag 01.09.2012; Springer US; Springer Nature B.V
• Subjects: Biomedical and Life Sciences; Chemical contaminants; Chemistry and Earth Sciences; Computer Science; detection limit; Ecology; Environmental health; Environmental monitoring; Environmental science; Estimates; Expected values; Exposure; Health Sciences; Human exposure; Life Sciences; Math. Appl. in Environmental Science; Mathematical models; Maximum likelihood method; Medicine; Methods; Physics; Random variables; risk; Simulation; Specifications; Statistical analysis; Statistics for Engineering; Statistics for Life Sciences; Studies; Theoretical Ecology/Statistics; Toxicity; Limit of detection; Regression; Multiple imputation; Generalized gamma distribution

In the environmental health sciences, measurements of toxic exposures are often constrained by a lower limit called the limit of detection (LOD), with observations below this limit called non-detects. Although valid inference may be obtained by excluding non-detects in the estimation of exposure eff...