Document Detail


Age-adjusted exact trend tests in the event of rare occurrences.
MedLine Citation:
PMID:  12071414     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Preclinical animal carcinogenicity studies are usually concerned with testing the statistical significance of a dose-response relationship. When the response consists of a rare event such as the development of a certain type of tumor, exact statistical methods are often employed. The exact randomization trend test based on the multivariate hypergeometric distribution is less powerful in the presence of treatment-related risks other than the specified response. Particularly, the loss of power becomes more pronounced when competing risks cause progressively higher mortality rates with increasing dose, which is usual in practice. An age-adjusted form of the randomization test is proposed to adjust for this effect. Permutational distribution for Peto's cause-of-death (COD) test is also explored and compared with its asymptotic counterpart by simulation. The use of COD information has been a controversial issue due to the subjectivity in the pathologists' determinations as well as for economic reasons. The proposed age-adjusted exact test does not require COD, and it is shown to compare favorably to the COD tests via an extensive Monte Carlo simulation. Applications of the methods to two real data sets are included.
Authors:
Jessica Y Mancuso; Hongshik Ahn; James J Chen; James P Mancuso
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biometrics     Volume:  58     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2002 Jun 
Date Detail:
Created Date:  2002-06-19     Completed Date:  2003-01-07     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  403-12     Citation Subset:  IM    
Affiliation:
Pfizer Global Research and Development, Groton, Connecticut 06340, USA. jessica_y_mancuso@groton.pfizer.com
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MeSH Terms
Descriptor/Qualifier:
Age Factors
Animals
Biometry / methods*
Carcinogenicity Tests / statistics & numerical data*
Data Interpretation, Statistical
Neoplasms, Experimental / chemically induced
Toxicology / statistics & numerical data
Grant Support
ID/Acronym/Agency:
R29 CA77289-04/CA/NCI NIH HHS

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


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