Adaptive sample size determination for the development of clinical prediction models

BACKGROUND: We suggest an adaptive sample size calculation method for developing clinical prediction models, in which model performance is monitored sequentially as new data comes in. METHODS: We illustrate the approach using data for the diagnosis of ovarian cancer (n = 5914, 33% event fraction) an...

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Detalles Bibliográficos
Autores principales: Christodoulou, Evangelia, van Smeden, Maarten, Edlinger, Michael, Timmerman, Dirk, Wanitschek, Maria, Steyerberg, Ewout W., Van Calster, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983402/
https://www.ncbi.nlm.nih.gov/pubmed/33745449
http://dx.doi.org/10.1186/s41512-021-00096-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983402/
https://www.ncbi.nlm.nih.gov/pubmed/33745449
http://dx.doi.org/10.1186/s41512-021-00096-5

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