A Latent-Class Mixture Model For Incomplete Longitudinal Gaussian Data Biometrics, Submitted for publication

In Beunckens et al. (2006), we propose a so-called latent-class mixture model, bringing to-gether features of the selection, pattern-mixture, and shared-parameter model frameworks. Precisely, information from the location and evolution of the response profiles, a selection model concept, and from the dropout patterns, a pattern-mixture idea, is used simultane