Bias-corrected and doubly robust inference for the three-level longitudinal cluster-randomized trials with missing continuous outcomes and small number of clusters: Simulation study and application to a study for adults with serious mental illnesses

Longitudinal cluster-randomized designs have been popular tools for comparative effective research in clinical trials. The methodologies for the three-level hierarchical design with longitudinal outcomes need to be better understood under more pragmatic settings; that is, with a small number of clus...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Chaeryon, Zhang, Di, Schuster, James, Kogan, Jane, Nikolajski, Cara, Reynolds, Charles F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425901/
https://www.ncbi.nlm.nih.gov/pubmed/37588771
http://dx.doi.org/10.1016/j.conctc.2023.101194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425901/
https://www.ncbi.nlm.nih.gov/pubmed/37588771
http://dx.doi.org/10.1016/j.conctc.2023.101194

Ejemplares similares