Adequate sample size for developing prediction models is not simply related to events per variable

Emmanuel Ogundimu; Douglas G. Altman; Gary S. Collins

doi:10.1016/j.jclinepi.2016.02.031

March 8, 2016Journal of Clinical EpidemiologyOpen Access

Adequate sample size for developing prediction models is not simply related to events per variable

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Abstract

Higher EPV is needed when low-prevalence predictors are present in a model to eliminate bias in regression coefficients and improve predictive accuracy.

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Ogundimu et al. (2016) studied this question.

synapsesocial.com/papers/69dca86498c6111533e53602 https://doi.org/10.1016/j.jclinepi.2016.02.031

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Adequate sample size for developing prediction models is not simply related to events per variable

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Adequate sample size for developing prediction models is not simply related to events per variable

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