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Letters |1 February 1993

Publication Criteria for Statistical Prediction Models

Walter Palmas, MD; Timothy A. Denton, MD; George A. Diamond, MD

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TO THE EDITOR:
Multivariable regression is a statistical procedure defining the relation between an outcome and a set of surrogate observations. The procedure is used either to identify the observations that provide independent information with respect to the outcome (descriptive modeling) or to estimate the likelihood of the outcome in a given patient from the set of observations particular to that patient (predictive modeling).
Bickell and colleagues [1] recently used a multivariable regression model to evaluate retrospectively the presence of gender bias in the management of patients with coronary artery disease. The male-female odds ratio for surgical referral was calculated for different risk strata using a previously validated logistic regression model. The calculated risk based on this model was then used as an unbiased estimate of true outcome.
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Palmas W, Denton TA, Diamond GA. Publication Criteria for Statistical Prediction Models. Ann Intern Med. 1993;118:231–232. doi: 10.7326/0003-4819-118-3-199302010-00021

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Published: Ann Intern Med. 1993;118(3):231-232.

DOI: 10.7326/0003-4819-118-3-199302010-00021

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Print ISSN: 0003-4819 | Online ISSN: 1539-3704

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