title: The EM algorithm for maximum likelihood estimation in the mover-stayer model.
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.
authors.affiliation: Department of Statistics, Tel Aviv University, Israel.
authors.forename: C
authors.initials: C
authors.lastname: Fuchs
authors.forename: J B
authors.initials: JB
authors.lastname: Greenhouse
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D006801:Humans; D008603:Mental Health; D008962:Models, Theoretical; D013997:Time Factors