GOLDmineR: improving models for classifying patients with chest pain

Document Type

Article

Publication Title

The Yale journal of biology and medicine

Abstract

The laboratory is dealing with reporting tests as information needed to make clinical decisions. The traditional statistical quality control measures which assigns reference ranges based on 95 percent confidence intervals is insufficient for diagnostic tests that assign risk. We construct a basis for risk assignment by a method that builds on the 2 x 2 contingency table used to calculate the C2 goodness-of-fit and Bayesian estimates. The widely used logistic regression is a subset of the regression method, as it only considers dichotomous outcome choices. We use examples of multivalued predictor(s) and a multivalued as well as dichotomous outcome. Outcomes analyses are quite easy using the ordinal logit regression model.

First Page

183

Last Page

98

Publication Date

1-1-2002

Identifier

12784968 (pubmed); PMC2588788 (pmc)

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