Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease

Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease

Abstract Background Stability of risk estimates from prediction models may be highly dependent on the sample size of the dataset available for model derivation. In this paper, we evaluate the stability of cardiovascular disease risk scores for individual patients when using different sample sizes fo...

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Bibliographic Details
Main Authors: Alexander Pate, Richard Emsley, Matthew Sperrin, Glen P. Martin, Tjeerd van Staa
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Diagnostic and Prognostic Research
Subjects:
Risk prediction
Sample size
Statistical methods
Precision
Stability
Online Access:http://link.springer.com/article/10.1186/s41512-020-00082-3

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http://link.springer.com/article/10.1186/s41512-020-00082-3

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