No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

Abstract Background Ten events per variable (EPV) is a widely advocated minimal criterion for sample size considerations in logistic regression analysis. Of three previous simulation studies that examined this minimal EPV criterion only one supports the use of a minimum of 10 EPV. In this paper, we...

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Bibliographic Details
Main Authors: Maarten van Smeden, Joris A. H. de Groot, Karel G. M. Moons, Gary S. Collins, Douglas G. Altman, Marinus J. C. Eijkemans, Johannes B. Reitsma
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Medical Research Methodology
Subjects:
EPV
Bias
Separation
Logistic regression
Sample size
Simulations
Online Access:http://link.springer.com/article/10.1186/s12874-016-0267-3

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http://link.springer.com/article/10.1186/s12874-016-0267-3

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