Multilevel cross-dependent binary longitudinal data.

ABSTRACT: We provide insights into new methodology for the analysis of multilevel binary data observed longitudinally, when the repeated longitudinal measurements are correlated. The proposed model is logistic functional regression conditioned on three latent processes describing the within- and between-variability, and describing the cross-dependence of the repeated longitudinal measurements. We estimate the model components without employing mixed-effects modeling but assuming an approximation to the logistic link function. The primary objectives of this article are to highlight the challenges in the estimation of the model components, to compare two approximations to the logistic regression function, linear and exponential, and to discuss their advantages and limitations. The linear approximation

SUBMITTER: Serban N 

PROVIDER: S-EPMC3865135 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature