Maximum likelihood estimation for longitudinal data with truncated observations.
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.
Mehrotra
K G
KG
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13224, USA.
Kulkarni
P M
PM
Tripathi
R C
RC
Michalek
J E
JE
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
D004147:Dioxins