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Missing data and prediction: the pattern submodel

Missing data are a common problem for both the construction and implementation of a prediction algorithm. Pattern submodels (PS)—a set of submodels for every missing data pattern that are fit using only data from that pattern—are a computationally efficient remedy for handling missing data at both s...

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Detalles Bibliográficos
Autores principales: Fletcher Mercaldo, Sarah, Blume, Jeffrey D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868046/
https://www.ncbi.nlm.nih.gov/pubmed/30203058
http://dx.doi.org/10.1093/biostatistics/kxy040