Cargando…
The Frailty Index, Missing Data, and Imputation
The frailty index (FI) is a summary measure of health during aging that is defined by the average number of ‘things wrong’, i.e. health deficits, across a sundry of lab, clinical, and questionnaire measurements. Missing data are ubiquitous in aging studies. Although the FI appears to have robust pre...
Autores principales: | Pridham, Glen, Rutenberg, Andrew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741816/ http://dx.doi.org/10.1093/geroni/igaa057.3389 |
Ejemplares similares
-
The Quantile Frailty Index: A Cutpoint-Free Approach to Biomarker-Based Health Assessment
por: Stubbings, Garrett, et al.
Publicado: (2020) -
Missing Data and Imputation Methods
por: Schober, Patrick, et al.
Publicado: (2020) -
Flexible imputation of missing data
por: van Buuren, Stef
Publicado: (2018) -
Modelling lifespan reduction in an exogenous damage model of generic disease
por: Tobin, Rebecca, et al.
Publicado: (2023) -
Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
por: Liao, Serena G, et al.
Publicado: (2014)