Cargando…
Combining fractional polynomial model building with multiple imputation
Multivariable fractional polynomial (MFP) models are commonly used in medical research. The datasets in which MFP models are applied often contain covariates with missing values. To handle the missing values, we describe methods for combining multiple imputation with MFP modelling, considering in tu...
Autores principales: | Morris, Tim P., White, Ian R., Carpenter, James R., Stanworth, Simon J., Royston, Patrick |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871237/ https://www.ncbi.nlm.nih.gov/pubmed/26095614 http://dx.doi.org/10.1002/sim.6553 |
Ejemplares similares
-
Tuning multiple imputation by predictive mean matching and local residual draws
por: Morris, Tim P, et al.
Publicado: (2014) -
Multiple imputation for an incomplete covariate that is a ratio
por: Morris, Tim P, et al.
Publicado: (2014) -
Multivariable model-building: a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables
por: Royston, Patrick, et al.
Publicado: (2008) -
Imputing missing covariate values for the Cox model
por: White, Ian R, et al.
Publicado: (2009) -
Multiple imputation of multiple multi-item scales when a full imputation model is infeasible
por: Plumpton, Catrin O., et al.
Publicado: (2016)