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PubMed · 11042627

Maximum likelihood estimation for longitudinal data with truncated observations.

K G Mehrotra·P M Kulkarni·R C Tripathi·J E Michalek
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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.

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Aerospace MedicineDioxinsHumansLikelihood FunctionsLinear ModelsLongitudinal StudiesMaleVeteransVietnamComparative StudyJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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K G Mehrotra, P M Kulkarni, R C Tripathi, J E Michalek. 2000-11-15. Maximum likelihood estimation for longitudinal data with truncated observations.. https://doi.org/10.1002/1097-0258(20001115)19%3A21%3C2975%3A%3Aaid-sim598%3E3.0.co%3B2-w

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