Maximum likelihood estimation for longitudinal data with truncated observations

We obtain maximum likelihood estimates of the parameters when the observati ons on the response variable in a repeated measures design are truncated ab ove a cutpoint. The maximum likelihood equations are solved iteratively usi ng an EM-like procedure. It is observed that these estimates have smaller m ean squared error than recently proposed iterative weighted least-squares e stimates. The results are applied to data arising from a study of dioxin el imination in Air Force veterans. Published in 2000 by John Wiley & Sons, Lt d.