title: Maximum likelihood estimation for longitudinal data with truncated observations.
abstract: We obtain maximum likelihood estimates of the parameters when the observations on the response variable in a repeated measures design are truncated above a cutpoint. The maximum likelihood equations are solved iteratively using an EM-like procedure. It is observed that these estimates have smaller mean squared error than recently proposed iterative weighted least-squares estimates. The results are applied to data arising from a study of dioxin elimination in Air Force veterans. Published in 2000 by John Wiley & Sons, Ltd.
authors.affiliation: Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13224, USA.
authors.forename: K G
authors.initials: KG
authors.lastname: Mehrotra
authors.forename: P M
authors.initials: PM
authors.lastname: Kulkarni
authors.forename: R C
authors.initials: RC
authors.lastname: Tripathi
authors.forename: J E
authors.initials: JE
authors.lastname: Michalek
mesh_terms: D000337:Aerospace Medicine; D004147:Dioxins / Q000032:analysis / Q000633:toxicity; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D014728:Veterans; D014744:Vietnam
chemical_list: D004147:Dioxins