Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance

Recent minimum sample size formula (Riley et al.) for developing clinical prediction models help ensure that development datasets are of sufficient size to minimise overfitting. While these criteria are known to avoid excessive overfitting on average, the extent of variability in overfitting at reco...

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Detalles Bibliográficos
Autores principales: Martin, Glen P, Riley, Richard D, Collins, Gary S, Sperrin, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649413/
https://www.ncbi.nlm.nih.gov/pubmed/34623193
http://dx.doi.org/10.1177/09622802211046388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649413/
https://www.ncbi.nlm.nih.gov/pubmed/34623193
http://dx.doi.org/10.1177/09622802211046388

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