Cargando…
A comparison of model selection methods for prediction in the presence of multiply imputed data
Many approaches for variable selection with multiply imputed data in the development of a prognostic model have been proposed. However, no method prevails as uniformly best. We conducted a simulation study with a binary outcome and a logistic regression model to compare two classes of variable selec...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492211/ https://www.ncbi.nlm.nih.gov/pubmed/30353591 http://dx.doi.org/10.1002/bimj.201700232 |