Testing Synergistic Effects for Simultaneous Exposures with Stratified Dichotomous Response

Walter W. Piegorsch; Clarice R. Weinberg

doi:10.1080/00949658608810946

Testing Synergistic Effects for Simultaneous Exposures with Stratified Dichotomous Response

Walter W. Piegorsch
, Clarice R. Weinberg

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

1 Scopus citations

Abstract

This paper compares small sample performances of test statistics for assessing the degree of interaction between two exposures with respect to the occurrence of a time- stratified dichotomous outcome. Particular attention is focused towards cancer bioassays. A null model of simple, independent, joint action is adopted. Sizes and powers are examined via Monte Carlo simulations for the various statistics proposed under a variety of parameter configurations.

Original language	English (US)
Pages (from-to)	1-19
Number of pages	19
Journal	Journal of Statistical Computation and Simulation
Volume	26
Issue number	1-2
DOIs	https://doi.org/10.1080/00949658608810946
State	Published - Oct 1 1986
Externally published	Yes

Keywords

Interaction
simple independent action
simulation

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1080/00949658608810946

Cite this

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abstract = "This paper compares small sample performances of test statistics for assessing the degree of interaction between two exposures with respect to the occurrence of a time- stratified dichotomous outcome. Particular attention is focused towards cancer bioassays. A null model of simple, independent, joint action is adopted. Sizes and powers are examined via Monte Carlo simulations for the various statistics proposed under a variety of parameter configurations.",

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N2 - This paper compares small sample performances of test statistics for assessing the degree of interaction between two exposures with respect to the occurrence of a time- stratified dichotomous outcome. Particular attention is focused towards cancer bioassays. A null model of simple, independent, joint action is adopted. Sizes and powers are examined via Monte Carlo simulations for the various statistics proposed under a variety of parameter configurations.

AB - This paper compares small sample performances of test statistics for assessing the degree of interaction between two exposures with respect to the occurrence of a time- stratified dichotomous outcome. Particular attention is focused towards cancer bioassays. A null model of simple, independent, joint action is adopted. Sizes and powers are examined via Monte Carlo simulations for the various statistics proposed under a variety of parameter configurations.

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KW - simulation

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Testing Synergistic Effects for Simultaneous Exposures with Stratified Dichotomous Response

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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