Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

BACKGROUND: Multiple imputation by chained equations (MICE) requires specifying a suitable conditional imputation model for each incomplete variable and then iteratively imputes the missing values. In the presence of missing not at random (MNAR) outcomes, valid statistical inference often requires j...

Descripción completa

Detalles Bibliográficos
Autores principales: Galimard, Jacques-Emmanuel, Chevret, Sylvie, Curis, Emmanuel, Resche-Rigon, Matthieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119269/
https://www.ncbi.nlm.nih.gov/pubmed/30170561
http://dx.doi.org/10.1186/s12874-018-0547-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119269/
https://www.ncbi.nlm.nih.gov/pubmed/30170561
http://dx.doi.org/10.1186/s12874-018-0547-1

Ejemplares similares