Xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials.

ABSTRACT: Cluster randomized trials, where clusters (for example, schools or clinics) are randomized to comparison arms but measurements are taken on individuals, are commonly used to evaluate interventions in public health, education, and the social sciences. Analysis is often conducted on individual-level outcomes, and such analysis methods must consider that outcomes for members of the same cluster tend to be more similar than outcomes for members of other clusters. A popular individual-level analysis technique is generalized estimating equations (GEE). However, it is common to randomize a small number of clusters (for example, 30 or fewer), and in this case, the GEE standard errors obtained from the sandwich variance estimator will be biased, leading to inflated type I errors. Some bias-correcte

SUBMITTER: Gallis JA 

PROVIDER: S-EPMC8942127 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature