Effect of Variable Selection Strategy on the Performance of Prognostic Models When Using Multiple Imputation

BACKGROUND: Variable selection is an important issue when developing prognostic models. Missing data occur frequently in clinical research. Multiple imputation is increasingly used to address the presence of missing data in clinical research. The effect of different variable selection strategies wit...

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Detalles Bibliográficos
Autores principales: Austin, Peter C., Lee, Douglas S., Ko, Dennis T., White, Ian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Methods Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665277/
https://www.ncbi.nlm.nih.gov/pubmed/31718298
http://dx.doi.org/10.1161/CIRCOUTCOMES.119.005927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665277/
https://www.ncbi.nlm.nih.gov/pubmed/31718298
http://dx.doi.org/10.1161/CIRCOUTCOMES.119.005927

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