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Predicting carcinogenicity by using batteries of dependent short-term tests.

Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent. A major assumption of CPBS is that the STTs used in the prediction are conditionally independent. Results o...

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Detalles Bibliográficos
Autores principales: Kim, B S, Margolin, B H
Formato: Texto
Lenguaje:English
Publicado: 1994
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1566897/
https://www.ncbi.nlm.nih.gov/pubmed/8187701
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author Kim, B S
Margolin, B H
author_facet Kim, B S
Margolin, B H
author_sort Kim, B S
collection PubMed
description Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent. A major assumption of CPBS is that the STTs used in the prediction are conditionally independent. Results of recent National Toxicology Program studies of four commonly used in vitro STTs contradict this assumption, thereby necessitating modification of CPBS to accommodate dependencies. This is accomplished via log-linear modeling, which then also yields an important dividend: standard errors for the predicted probabilities of carcinogenicity.
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spelling pubmed-15668972006-09-19 Predicting carcinogenicity by using batteries of dependent short-term tests. Kim, B S Margolin, B H Environ Health Perspect Research Article Among the various methods for predicting carcinogenicity from a battery of short-term tests (STTs), the carcinogenicity prediction and battery selection (CPBS) procedure is the most prominent. A major assumption of CPBS is that the STTs used in the prediction are conditionally independent. Results of recent National Toxicology Program studies of four commonly used in vitro STTs contradict this assumption, thereby necessitating modification of CPBS to accommodate dependencies. This is accomplished via log-linear modeling, which then also yields an important dividend: standard errors for the predicted probabilities of carcinogenicity. 1994-01 /pmc/articles/PMC1566897/ /pubmed/8187701 Text en
spellingShingle Research Article
Kim, B S
Margolin, B H
Predicting carcinogenicity by using batteries of dependent short-term tests.
title Predicting carcinogenicity by using batteries of dependent short-term tests.
title_full Predicting carcinogenicity by using batteries of dependent short-term tests.
title_fullStr Predicting carcinogenicity by using batteries of dependent short-term tests.
title_full_unstemmed Predicting carcinogenicity by using batteries of dependent short-term tests.
title_short Predicting carcinogenicity by using batteries of dependent short-term tests.
title_sort predicting carcinogenicity by using batteries of dependent short-term tests.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1566897/
https://www.ncbi.nlm.nih.gov/pubmed/8187701
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