Literature DB >> 7784636

Data analysis: statistical analysis and use of historical control data.

J K Haseman1.   

Abstract

Survival-adjusted methods for the statistical analysis of tumor data from long-term rodent carcinogenicity studies are described. Although most of these methods require knowledge of whether individual tumors are "fatal" or "incidental," such determinations may be difficult. Several methods for dealing with this and with other data analysis issues are discussed. Historical control tumor data may be useful in the interpretation of rodent carcinogenicity studies, particularly for rare tumors and for borderline effects. Although statistical methods are available for using historical control data in a formal testing framework, the primary difficulty is establishing a database that is truly comparable to the study under evaluation with respect to those factors known to influence tumor occurrence. Major sources of variability in tumor incidence include the animal room environment, dietary factors/body weight, gross necropsy and slide preparation procedures, and histopathology diagnosis. The National Toxicology Program's use of historical control data is briefly described and illustrated.

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Year:  1995        PMID: 7784636     DOI: 10.1006/rtph.1995.1009

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  3 in total

1.  Comparison of NTP historical control tumor incidence rates in female Harlan Sprague Dawley and Fischer 344/N Rats.

Authors:  Gregg E Dinse; Shyamal D Peddada; Shawn F Harris; Susan A Elmore
Journal:  Toxicol Pathol       Date:  2010-07-09       Impact factor: 1.902

2.  Incorporating Historical Control Data When Comparing Tumor Incidence Rates.

Authors:  Shyamal D Peddada; Gregg E Dinse; Grace E Kissling
Journal:  J Am Stat Assoc       Date:  2007-01-01       Impact factor: 5.033

3.  Life-span exposure to low doses of aspartame beginning during prenatal life increases cancer effects in rats.

Authors:  Morando Soffritti; Fiorella Belpoggi; Eva Tibaldi; Davide Degli Esposti; Michelina Lauriola
Journal:  Environ Health Perspect       Date:  2007-09       Impact factor: 9.031

  3 in total

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