NDLI: On use of the multistage dose-response model for assessing laboratory animal carcinogenicity.

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On use of the multistage dose-response model for assessing laboratory animal carcinogenicity.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Nitcheva, Daniela K. Piegorsch, Walter W. West, R. Webster
Spatial Coverage	United States
Description	Country affiliation: United States Author Affiliation: Nitcheva DK ( Department of Epidemiology and Biostatistics, Norman J. Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA. nitcheva@gwm.sc.edu)
Abstract	We explore how well a statistical multistage model describes dose-response patterns in laboratory animal carcinogenicity experiments from a large database of quantal response data. The data are collected from the US EPA's publicly available IRIS data warehouse and examined statistically to determine how often higher-order values in the multistage predictor yield significant improvements in explanatory power over lower-order values. Our results suggest that the addition of a second-order parameter to the model only improves the fit about 20% of the time, while adding even higher-order terms apparently does not contribute to the fit at all, at least with the study designs we captured in the IRIS database. Also included is an examination of statistical tests for assessing significance of higher-order terms in a multistage dose-response model. It is noted that bootstrap testing methodology appears to offer greater stability for performing the hypothesis tests than a more-common, but possibly unstable, 'Wald' test.
File Format	HTM / HTML
ISSN	02732300
e-ISSN	10960295
Journal	Regulatory Toxicology and Pharmacology
Issue Number	2
Volume Number	48
Language	English
Publisher	Elsevier
Publisher Date	2007-07-01
Publisher Place	Netherlands
Access Restriction	Open
Subject Keyword	Discipline Pharmacology Carcinogens Toxicity Dose-response Relationship, Drug Models, Statistical Animals Animals, Laboratory Carcinogenicity Tests Databases, Factual Risk Assessment United States Environmental Protection Agency Research Support, N.i.h., Extramural Research Support, U.s. Gov't, Non-p.h.s.
Content Type	Text
Resource Type	Article
Subject	Medicine Toxicology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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