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The Minimum Detectable Difference (MDD) Concept for Establishing Trust in Nonsignificant Results : A Critical Review

Titelangaben

Mair, Magdalena ; Kattwinkel, Mira ; Jakoby, Oliver ; Hartig, Florian:
The Minimum Detectable Difference (MDD) Concept for Establishing Trust in Nonsignificant Results : A Critical Review.
In: Environmental Toxicology and Chemistry. Bd. 39 (2020) Heft 11 . - S. 2109-2123.
ISSN 1552-8618
DOI: https://doi.org/10.1002/etc.4847

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Current regulatory guidelines for pesticide risk assessment recommend that nonsignificant results should be complemented by the minimum detectable difference (MDD), a statistical indicator that is used to decide whether the experiment could have detected biologically relevant effects. We review the statistical theory of the MDD and perform simulations to understand its properties and error rates. Most importantly, we compare the skill of the MDD in distinguishing between true and false negatives (i.e., type II errors) with 2 alternatives: the minimum detectable effect (MDE), an indicator based on a post hoc power analysis common in medical studies; and confidence intervals (CIs). Our results demonstrate that MDD and MDE only differ in that the power of the MDD depends on the sample size. Moreover, although both MDD and MDE have some skill in distinguishing between false negatives and true absence of an effect, they do not perform as well as using CI upper bounds to establish trust in a nonsignificant result. The reason is that, unlike the CI, neither MDD nor MDE consider the estimated effect size in their calculation. We also show that MDD and MDE are no better than CIs in identifying larger effects among the false negatives. We conclude that, although MDDs are useful, CIs are preferable for deciding whether to treat a nonsignificant test result as a true negative, or for determining an upper bound for an unknown true effect. Environ Toxicol Chem 2020;39:2109–2123. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: Minimum significant difference; Least significant difference; Minimum detectable change; Post hoc power; Statistical ecotoxicology; Risk assessment
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Biologie
Fakultäten
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
Eingestellt am: 25 Jan 2022 13:22
Letzte Änderung: 21 Feb 2022 14:53
URI: https://eref.uni-bayreuth.de/id/eprint/66421