Multiple imputation for discrete data: Evaluation of the joint latent normal model

Missing data are ubiquitous in clinical and social research, and multiple imputation (MI) is increasingly the methodology of choice for practitioners. Two principal strategies for imputation have been proposed in the literature: joint modelling multiple imputation (JM‐MI) and full conditional specif...

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Detalles Bibliográficos
Autores principales: Quartagno, Matteo, Carpenter, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
General Biometry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618333/
https://www.ncbi.nlm.nih.gov/pubmed/30868652
http://dx.doi.org/10.1002/bimj.201800222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6618333/
https://www.ncbi.nlm.nih.gov/pubmed/30868652
http://dx.doi.org/10.1002/bimj.201800222

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