Ontology highlight
ABSTRACT:
SUBMITTER: Li S
PROVIDER: S-EPMC9928173 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Li Sai S Cai T Tony TT Li Hongzhe H
Journal of the American Statistical Association 20210420 540
Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown parameters in linear mixed-effects models with high-dimensional fixed effects. The proposed method is applicable to general settings where the dimension of the random effects and the cluster sizes are possibly large. Regarding the fixed effects, we provide rate optimal estimators and valid inference procedures that do not ...[more]