Testing for simple independent action between two factors for dichotomous response data.

W. W. Piegorsch; C. R. Weinberg; J. K. Haseman

doi:10.2307/2531061

Testing for simple independent action between two factors for dichotomous response data.

W. W. Piegorsch
, C. R. Weinberg
, J. K. Haseman

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This paper compares three statistics for testing simple independent action between two dichotomous factors with respect to the occurrence of a dichotomous outcome. Sizes and powers are examined for the statistics proposed, under a variety of model parameterizations. The results suggest that a test based on the ratio of the nonresponse probability estimates [considered originally by Wahrendorf, Zentgraf, and Brown (1981, Biometrics 37, 45-54)] has proper size and acceptable power, and is recommended for use in this setting.

Original language	English (US)
Pages (from-to)	413-419
Number of pages	7
Journal	Biometrics
Volume	42
Issue number	2
DOIs	https://doi.org/10.2307/2531061
State	Published - Jun 1986
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

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10.2307/2531061

Cite this

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abstract = "This paper compares three statistics for testing simple independent action between two dichotomous factors with respect to the occurrence of a dichotomous outcome. Sizes and powers are examined for the statistics proposed, under a variety of model parameterizations. The results suggest that a test based on the ratio of the nonresponse probability estimates [considered originally by Wahrendorf, Zentgraf, and Brown (1981, Biometrics 37, 45-54)] has proper size and acceptable power, and is recommended for use in this setting.",

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AB - This paper compares three statistics for testing simple independent action between two dichotomous factors with respect to the occurrence of a dichotomous outcome. Sizes and powers are examined for the statistics proposed, under a variety of model parameterizations. The results suggest that a test based on the ratio of the nonresponse probability estimates [considered originally by Wahrendorf, Zentgraf, and Brown (1981, Biometrics 37, 45-54)] has proper size and acceptable power, and is recommended for use in this setting.

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Testing for simple independent action between two factors for dichotomous response data.

Abstract

ASJC Scopus subject areas

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