Literature DB >> 20508734

Applications of the Poly-K Statistical Test to Life-Time Cancer Bioassay Studies.

Mulugeta Gebregziabher1, David Hoel.   

Abstract

The statistical analysis of cancer bioassay data has historically depended on the pathological determination of the experimental animal's cause of death. The poly-k statistical test has provided a method of statistical analysis of animal bioassay data without the need for cause of death information. The test has been shown to have good statistical properties in the typical 2-year cancer bioassay. However, while the poly-k test has been applied to chronic lifetime animal studies, it has not been formally evaluated with respect to the operating characteristics of this statistical test when applied to such studies. Thus, our objective is to assess the performance of the poly-k test for lifetime studies and to make comparisons with other tests. We observed in one recent lifetime study of the gasoline additive MTBE that the application of the poly-k test was not statistically robust. Simulation studies were subsequently conducted for a limited number of scenarios of lifetime cancer bioassays. These simulations showed that the poly-k test is not statistically robust for testing effect of increasing dose in some lifetime cancer studies.

Entities:  

Year:  2009        PMID: 20508734      PMCID: PMC2874903          DOI: 10.1080/10807030903153360

Source DB:  PubMed          Journal:  Hum Ecol Risk Assess        ISSN: 1080-7039            Impact factor:   5.190


  14 in total

1.  Statistical methods for carcinogenicity studies.

Authors: 
Journal:  Toxicol Pathol       Date:  2002 May-Jun       Impact factor: 1.902

2.  Estimation of k for the poly-k test with application to animal carcinogenicity studies.

Authors:  Hojin Moon; Hongshik Ahn; Ralph L Kodell; J Jack Lee
Journal:  Stat Med       Date:  2003-08-30       Impact factor: 2.373

3.  Results of long-term carcinogenicity bioassay on Sprague-Dawley rats exposed to aspartame administered in feed.

Authors:  Fiorella Belpoggi; Morando Soffritti; Michela Padovani; Davide Degli Esposti; Michelina Lauriola; Franco Minardi
Journal:  Ann N Y Acad Sci       Date:  2006-09       Impact factor: 5.691

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Authors:  C J Portier; A J Bailer
Journal:  Fundam Appl Toxicol       Date:  1989-05

5.  Statistical analysis of survival experiments.

Authors:  D G Hoel; H E Walburg
Journal:  J Natl Cancer Inst       Date:  1972-08       Impact factor: 13.506

6.  Statistical issues in interpretation of chronic bioassay tests for carcinogenicity.

Authors:  J J Gart; K C Chu; R E Tarone
Journal:  J Natl Cancer Inst       Date:  1979-04       Impact factor: 13.506

7.  Ratio estimates, the delta method, and quantal response tests for increased carcinogenicity.

Authors:  G S Bieler; R L Williams
Journal:  Biometrics       Date:  1993-09       Impact factor: 2.571

8.  Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments.

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Journal:  IARC Monogr Eval Carcinog Risk Chem Hum Suppl       Date:  1980

9.  Results of long-term experimental studies on the carcinogenicity of methyl tert-butyl ether.

Authors:  F Belpoggi; M Soffritti; F Filippini; C Maltoni
Journal:  Ann N Y Acad Sci       Date:  1997-12-26       Impact factor: 5.691

10.  Methyl-tertiary-butyl ether (MTBE)--a gasoline additive--causes testicular and lymphohaematopoietic cancers in rats.

Authors:  F Belpoggi; M Soffritti; C Maltoni
Journal:  Toxicol Ind Health       Date:  1995 Mar-Apr       Impact factor: 2.273

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  1 in total

Review 1.  Scientific considerations for evaluating cancer bioassays conducted by the Ramazzini Institute.

Authors:  Jeffrey S Gift; Jane C Caldwell; Jennifer Jinot; Marina V Evans; Ila Cote; John J Vandenberg
Journal:  Environ Health Perspect       Date:  2013-09-17       Impact factor: 9.031

  1 in total

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