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.
Authors
- Andrea Onofri (ORCID: https://orcid.org/0000-0002-6603-329X)
- Hans‐Peter Piepho (ORCID: https://orcid.org/0000-0001-7813-2992)
- Waqas Ahmed Malik (ORCID: https://orcid.org/0000-0001-6455-5353)
Institutions
- University of Hohenheim (DE)
- University of Perugia (IT)
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