title: Simple linear regression with interval censored dependent and independent variables.
abstract: We consider a simple linear regression model that accommodates situations where both the dependent and the independent variables are interval censored. We obtain maximum likelihood estimators of its parameters and compare their performance with that of estimators derived under ordinary linear regression models. We also develop prediction intervals for the response and illustrate the results with data from an audiometric study designed to evaluate the possibility of prediction of behavioural thresholds from physiological thresholds.
authors.affiliation: Departamento de Estatística, Universidade de São Paulo, São Paulo, Brazil.
authors.forename: Marcel F
authors.initials: MF
authors.lastname: de Lima Taga
authors.affiliation: Departamento de Estatística, Universidade de São Paulo, São Paulo, Brazil.
authors.forename: Julio M
authors.initials: JM
authors.lastname: Singer
mesh_terms: D000465:Algorithms; D001299:Audiometry / Q000706:statistics & numerical data; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D003955:Diagnostic Tests, Routine / Q000379:methods; D034381:Hearing Loss / Q000175:diagnosis; D006801:Humans; D007223:Infant; D007804:Language Development; D016013:Likelihood Functions; D016014:Linear Models
keywords: Linear models; interval censoring; prediction interval