Multilevel Cross-Dependent Binary Longitudinal Data

Multilevel cross-dependent binary longitudinal data.

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 estimat...

Web-based Supplementary Materials: Multilevel Cross-dependent Binary Longitudinal Data

Multilevel Models for Binary Data

In previous chapters we described binomial and binary response models for individual-level or grouped data from a sample of independent observations. This chapter discusses extensions of these techniques that are useful for modeling data that are not independent due to being nested in, or allocated to, various higher-level units or contexts. We focus on models that take advantage of extra infor...

Multilevel Models for Longitudinal Data

Repeated measures and repeated events data have a hierarchical structure which can be analysed using multilevel models. A growth curve model is an example of a multilevel random coefficients model, while a discrete-time event history model for recurrent events can be fitted as a multilevel logistic regression model. The paper describes extensions to the basic growth curve model to handle autoco...

MULTILEVEL JOINT ANALYSIS OF LONGITUDINAL AND BINARY OUTCOMES by Seo