Cargando…
Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models
We conducted an extensive set of empirical analyses to examine the effect of the number of events per variable (EPV) on the relative performance of three different methods for assessing the predictive accuracy of a logistic regression model: apparent performance in the analysis sample, split-sample...
Autores principales: | Austin, Peter C, Steyerberg, Ewout W |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394463/ https://www.ncbi.nlm.nih.gov/pubmed/25411322 http://dx.doi.org/10.1177/0962280214558972 |
Ejemplares similares
-
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable
por: Austin, Peter C, et al.
Publicado: (2012) -
EPV0798 - CORRIGENDUM
Publicado: (2020) -
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers
por: Austin, Peter C., et al.
Publicado: (2013) -
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models
por: Austin, Peter C., et al.
Publicado: (2019) -
No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
por: van Smeden, Maarten, et al.
Publicado: (2016)