| Literature DB >> 12784968 |
Larry Bernstein1, Keith Bradley, Stuart Zarich.
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.Entities:
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Year: 2002 PMID: 12784968 PMCID: PMC2588788
Source DB: PubMed Journal: Yale J Biol Med ISSN: 0044-0086