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GOLDmineR: improving models for classifying patients with chest pain.

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 fo...

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Detalles Bibliográficos
Autores principales: Bernstein, Larry, Bradley, Keith, Zarich, Stuart
Formato: Texto
Lenguaje:English
Publicado: Yale Journal of Biology and Medicine 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2588788/
https://www.ncbi.nlm.nih.gov/pubmed/12784968
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author Bernstein, Larry
Bradley, Keith
Zarich, Stuart
author_facet Bernstein, Larry
Bradley, Keith
Zarich, Stuart
author_sort Bernstein, Larry
collection PubMed
description 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.
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spelling pubmed-25887882008-11-28 GOLDmineR: improving models for classifying patients with chest pain. Bernstein, Larry Bradley, Keith Zarich, Stuart Yale J Biol Med Research Article 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. Yale Journal of Biology and Medicine 2002 /pmc/articles/PMC2588788/ /pubmed/12784968 Text en
spellingShingle Research Article
Bernstein, Larry
Bradley, Keith
Zarich, Stuart
GOLDmineR: improving models for classifying patients with chest pain.
title GOLDmineR: improving models for classifying patients with chest pain.
title_full GOLDmineR: improving models for classifying patients with chest pain.
title_fullStr GOLDmineR: improving models for classifying patients with chest pain.
title_full_unstemmed GOLDmineR: improving models for classifying patients with chest pain.
title_short GOLDmineR: improving models for classifying patients with chest pain.
title_sort goldminer: improving models for classifying patients with chest pain.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2588788/
https://www.ncbi.nlm.nih.gov/pubmed/12784968
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