A likelihood-based two-part marginal model for longitudinal semicontinuous data.

ABSTRACT: Two-part models are an attractive approach for analysing longitudinal semicontinuous data consisting of a mixture of true zeros and continuously distributed positive values. When the population-averaged (marginal) covariate effects are of interest, two-part models that provide straightforward interpretation of the marginal effects are desirable. Presently, the only available approaches for fitting two-part marginal models to longitudinal semicontinuous data are computationally difficult to implement. Therefore, there exists a need to develop two-part marginal models that can be easily implemented in practice. We propose a fully likelihood-based two-part marginal model that satisfies this need by using the bridge distribution for the random effect in the binary part of an underlying two-par

SUBMITTER: Su L 

PROVIDER: S-EPMC4849555 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature