Cargando…
Estimation of required sample size for external validation of risk models for binary outcomes
Risk-prediction models for health outcomes are used in practice as part of clinical decision-making, and it is essential that their performance be externally validated. An important aspect in the design of a validation study is choosing an adequate sample size. In this paper, we investigate the samp...
Autores principales: | Pavlou, Menelaos, Qu, Chen, Omar, Rumana Z, Seaman, Shaun R, Steyerberg, Ewout W, White, Ian R, Ambler, Gareth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529102/ https://www.ncbi.nlm.nih.gov/pubmed/33881369 http://dx.doi.org/10.1177/09622802211007522 |
Ejemplares similares
-
A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes
por: Pavlou, Menelaos, et al.
Publicado: (2015) -
Risk prediction in multicentre studies when there is confounding by cluster or informative cluster size
por: Pavlou, Menelaos, et al.
Publicado: (2021) -
Review and evaluation of penalised regression methods for risk prediction in low‐dimensional data with few events
por: Pavlou, Menelaos, et al.
Publicado: (2015) -
How to develop a more accurate risk prediction model when there are few events
por: Pavlou, Menelaos, et al.
Publicado: (2015) -
Review of methods for handling confounding by cluster and informative cluster size in clustered data
por: Seaman, Shaun, et al.
Publicado: (2014)