1982
DOI: 10.1080/15287398209530198
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Multivariate statistical methods in toxicology. III. Specifying joint toxic interaction using multiple regression analysis

Abstract: Multiple regression is widely employed to study the contribution of components to the toxicologic effect of a mixture. Here, use is made of the fact that data obtained from standard curves of substances and from their mixtures are separable in regression analysis. Thus, under an assumption of additivity of responses, regression coefficients obtained for components in mixtures alone should be the same as for the individual substances. A t-test is developed such that nonsignificant t values support additivity, n… Show more

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Cited by 7 publications
(1 citation statement)
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“…Following the method of Schaeffer et af. , 6 the combination of muconaldehyde and hydroquinone is analysed for interactive effects ( Table 2). T-testing of the differences between the observed effects of the mixture ( 0 ) and the linear sum of individual standard components ( Y , ) resulted in non-significant values for ( Y1-O).…”
Section: Resultsmentioning
confidence: 99%
“…Following the method of Schaeffer et af. , 6 the combination of muconaldehyde and hydroquinone is analysed for interactive effects ( Table 2). T-testing of the differences between the observed effects of the mixture ( 0 ) and the linear sum of individual standard components ( Y , ) resulted in non-significant values for ( Y1-O).…”
Section: Resultsmentioning
confidence: 99%