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PubMed · 3390514

The EM algorithm for maximum likelihood estimation in the mover-stayer model.

C Fuchs·J B Greenhouse
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Abstract

The discrete-time mover-stayer model (Blumen, Kogan, and McCarthy, 1955, The Industrial Mobility of Labor as a Probability Process, Ithaca, New York: Cornell University Press) is a useful model for studying changes over time in heterogeneous populations. Using the EM algorithm, we present an alternative method for obtaining maximum likelihood estimates of the parameters of the mover-stayer model, and consider an extension of the basic model to the problem of incomplete follow-up in panel studies. The models and the methods are illustrated with data from a community-based survey of changes in mental health status over a 1-year period.

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AlgorithmsBiometryHumansMental HealthModels, TheoreticalTime FactorsJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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C Fuchs, J B Greenhouse. 1988. The EM algorithm for maximum likelihood estimation in the mover-stayer model.. https://pubmed.ncbi.nlm.nih.gov/3390514/

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