Optimal design of longitudinal data analysis using generalized estimating equation models.

ABSTRACT: Longitudinal studies are often applied in biomedical research and clinical trials to evaluate the treatment effect. The association pattern within the subject must be considered in both sample size calculation and the analysis. One of the most important approaches to analyze such a study is the generalized estimating equation (GEE) proposed by Liang and Zeger, in which "working correlation structure" is introduced and the association pattern within the subject depends on a vector of association parameters denoted by ρ. The explicit sample size formulas for two-group comparison in linear and logistic regression models are obtained based on the GEE method by Liu and Liang. For cluster randomized trials (CRTs), researchers proposed the optimal sample sizes at both the cluster and individual l

SUBMITTER: Liu J 

PROVIDER: S-EPMC5575779 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature