Clustered mixed nonhomogeneous Poisson process spline models for the analysis of recurrent event panel data.

ABSTRACT: A flexible semiparametric model for analyzing longitudinal panel count data arising from mixtures is presented. Panel count data refers here to count data on recurrent events collected as the number of events that have occurred within specific follow-up periods. The model assumes that the counts for each subject are generated by mixtures of nonhomogeneous Poisson processes with smooth intensity functions modeled with penalized splines. Time-dependent covariate effects are also incorporated into the process intensity using splines. Discrete mixtures of these nonhomogeneous Poisson process spline models extract functional information from underlying clusters representing hidden subpopulations. The motivating application is an experiment to test the effectiveness of pheromones in disrupting t

SUBMITTER: Nielsen JD 

PROVIDER: S-EPMC2996855 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature