Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed Models.

ABSTRACT: Despite the popularity of the general linear mixed model for data analysis, power and sample size methods and software are not generally available for commonly used test statistics and reference distributions. Statisticians resort to simulations with homegrown and uncertified programs or rough approximations which are misaligned with the data analysis. For a wide range of designs with longitudinal and clustering features, we provide accurate power and sample size approximations for inference about fixed effects in linear models we call reversible. We show that under widely applicable conditions, the general linear mixed-model Wald test has non-central distributions equivalent to well-studied multivariate tests. In turn, exact and approximate power and sample size results for the multivaria

SUBMITTER: Chi YY 

PROVIDER: S-EPMC7009022 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature