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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Yale Journal of Biology and Medicine
2002
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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. |
format | Text |
id | pubmed-2588788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Yale Journal of Biology and Medicine |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bernsteinlarry goldminerimprovingmodelsforclassifyingpatientswithchestpain AT bradleykeith goldminerimprovingmodelsforclassifyingpatientswithchestpain AT zarichstuart goldminerimprovingmodelsforclassifyingpatientswithchestpain |