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Accounting for Misclassification in the Cause-of-Death Test for Carcinogenicity

Accounting for Misclassification in the Cause-of-Death Test for Carcinogenicity Abstract The cause-of-death test (Peto 1974; Peto et al. 1980) provides a test for carcinogenicity without requiring extreme lethality assumptions. The approach has been criticized, however, because cause-of-death determinations require subjective decisions by pathologists and may be unreliable. Using a missing data formulation, we derive a simple, intuitive modification of the test that allows for misclassification of cause of death. The modified statistic is a function of the misclassification probabilities. A sensitivity analysis may be performed using a plausible range of values for these probabilities or, in certain situations, the misclassification probabilities can be estimated from the data. Both approaches are applied to data from the ED01 experiment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Statistical Association Taylor & Francis

Accounting for Misclassification in the Cause-of-Death Test for Carcinogenicity

Accounting for Misclassification in the Cause-of-Death Test for Carcinogenicity

Journal of the American Statistical Association , Volume 84 (407): 5 – Sep 1, 1989

Abstract

Abstract The cause-of-death test (Peto 1974; Peto et al. 1980) provides a test for carcinogenicity without requiring extreme lethality assumptions. The approach has been criticized, however, because cause-of-death determinations require subjective decisions by pathologists and may be unreliable. Using a missing data formulation, we derive a simple, intuitive modification of the test that allows for misclassification of cause of death. The modified statistic is a function of the misclassification probabilities. A sensitivity analysis may be performed using a plausible range of values for these probabilities or, in certain situations, the misclassification probabilities can be estimated from the data. Both approaches are applied to data from the ED01 experiment.

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References (14)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1537-274X
eISSN
0162-1459
DOI
10.1080/01621459.1989.10478838
Publisher site
See Article on Publisher Site

Abstract

Abstract The cause-of-death test (Peto 1974; Peto et al. 1980) provides a test for carcinogenicity without requiring extreme lethality assumptions. The approach has been criticized, however, because cause-of-death determinations require subjective decisions by pathologists and may be unreliable. Using a missing data formulation, we derive a simple, intuitive modification of the test that allows for misclassification of cause of death. The modified statistic is a function of the misclassification probabilities. A sensitivity analysis may be performed using a plausible range of values for these probabilities or, in certain situations, the misclassification probabilities can be estimated from the data. Both approaches are applied to data from the ED01 experiment.

Journal

Journal of the American Statistical AssociationTaylor & Francis

Published: Sep 1, 1989

Keywords: Incomplete data; Representativeness; Tumor lethality

There are no references for this article.