Adaptive sample size determination for the development of clinical prediction models

Adaptive sample size determination for the development of clinical prediction models

Abstract 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 fract...

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Bibliographic Details
Main Authors: Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria Wanitschek, Ewout W. Steyerberg, Ben Van Calster
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Diagnostic and Prognostic Research
Subjects:
Adaptive design
Clinical prediction models
Events per variable
Model development
Model validation
Sample size
Online Access:https://doi.org/10.1186/s41512-021-00096-5

Internet

https://doi.org/10.1186/s41512-021-00096-5

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