Evaluating several dose-response curves with a common zero level

Abstract Background : Experiments in different fields, including ecotoxicology, crop protection and agronomy, frequently involve qualitatively different inputs that can be applied in different doses. For each input, a separate dose-response curve can be fitted. If the dose levels include zero for each treatment, the curves must pass through the same intercept. Recently, the so-called Quenouille-Addelman solution has been proposed to analyse such data. This commentary shows a simple, previously published alternative to this method that is both easier to implement and statistically more efficient. Results: Three examples illustrate how a linear model package can be used to efficiently analyse several dose-response curves with a common intercept. Conclusion: The Quenouille-Addelman solution was originally proposed before computers when fully-fledged regression analyses posed a formidable task. That method traded convenience of computation for some loss of efficiency. With the availability of good regression packages, such a trade-off has become obsolete and a fully efficient analysis is easily obtained.

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Publication Details

Journal
CABI Agriculture and Bioscience
Published
2025-02-26
DOI
https://doi.org/10.1079/ab.2025.0009
Citations
1
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
2.11
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article

Evaluating several dose-response curves with a common zero level

Andrea Onofri, Hans‐Peter Piepho, Waqas Ahmed Malik
1 citations
CABI Agriculture and Bioscience
Optimal Experimental Design Methods
2.11
article

Evaluating several dose-response curves with a common zero level

Andrea Onofri, Hans‐Peter Piepho, Waqas Ahmed Malik
article en
1 citations

Abstract

Abstract Background : Experiments in different fields, including ecotoxicology, crop protection and agronomy, frequently involve qualitatively different inputs that can be applied in different doses. For each input, a separate dose-response curve can be fitted. If the dose levels include zero for each treatment, the curves must pass through the same intercept. Recently, the so-called Quenouille-Addelman solution has been proposed to analyse such data. This commentary shows a simple, previously published alternative to this method that is both easier to implement and statistically more efficient. Results: Three examples illustrate how a linear model package can be used to efficiently analyse several dose-response curves with a common intercept. Conclusion: The Quenouille-Addelman solution was originally proposed before computers when fully-fledged regression analyses posed a formidable task. That method traded convenience of computation for some loss of efficiency. With the availability of good regression packages, such a trade-off has become obsolete and a fully efficient analysis is easily obtained.

CABI Agriculture and Bioscience
University of Hohenheim (DE), University of Perugia (IT)
Openalex Percentile: Top 16%
Optimal Experimental Design Methods
2.11
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