Document Detail

Effects of treatment-induced mortality and tumor-induced mortality on tests for carcinogenicity in small samples.
MedLine Citation:
PMID:  3390507     Owner:  NLM     Status:  MEDLINE    
Statistical tests of carcinogenicity are shown to have varying degrees of robustness to the effects of mortality. Mortality induced by two different mechanisms is studied--mortality due to the tumor of interest, and mortality due to treatment independent of the tumor. The two most commonly used tests, the life-table test and the Cochran-Armitage linear trend test, are seen to be highly sensitive to increases in treatment lethality using small-sample simulations. Increases in tumor lethality are seen to affect the performance of commonly used prevalence tests such as logistic regression. A simple survival-adjusted quantal response test appears to be the most robust of all the procedures considered.
A J Bailer; C J Portier
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  44     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1988 Jun 
Date Detail:
Created Date:  1988-08-19     Completed Date:  1988-08-19     Revised Date:  2003-11-14    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  417-31     Citation Subset:  IM    
Division of Biometry and Risk Assessment, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709.
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MeSH Terms
Biometry / methods*
Models, Theoretical
Mutagenicity Tests / methods*
Neoplasms, Experimental / chemically induced,  mortality*,  therapy
Stochastic Processes

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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