Cargando…
Assessment of Internal Validity of Prognostic Models through Bootstrapping and Multiple Imputation of Missing Data
BACKGROUND: Prognostic models have clinical appeal to aid therapeutic decision making. Two main practical challenges in development of such models are assessment of validity of models and imputation of missing data. In this study, importance of imputation of missing data and application of bootstrap...
Autores principales: | Baneshi, MR, Talei, A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3468987/ https://www.ncbi.nlm.nih.gov/pubmed/23113185 |
Ejemplares similares
-
Does the Missing Data Imputation Method Affect the Composition and Performance of Prognostic Models?
por: Baneshi, M R, et al.
Publicado: (2012) -
Multiple Imputation in Survival Models: Applied on Breast Cancer Data
por: Baneshi, M R, et al.
Publicado: (2011) -
Variable selection under multiple imputation using the bootstrap in a prognostic study
por: Heymans, Martijn W, et al.
Publicado: (2007) -
Combining multiple imputation and bootstrap in the analysis of cost‐effectiveness trial data
por: Brand, Jaap, et al.
Publicado: (2018) -
Bootstrap inference for multiple imputation under uncongeniality and misspecification
por: Bartlett, Jonathan W, et al.
Publicado: (2020)