Escaping the Bonferroni iron claw in ecological studies

By Luis V. García. 2004

575 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e3c4df56a6cf32c789fb7f70f8d43a3a331498d3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Nature and Landscape Conservation

In Statistics and Probability

Citations in the corpus

Short-term survival of discarded target fish and non-target invertebrate species in the “eurocutter” beam trawl fishery of the southern North Sea (2014, methodology): “In addition to the intraspecific survival models, CDI scores were compared interspecifically with a non-parametric Kruskal-Wallis test and post-hoc comparison by Mann-Whitney tests with false discovery rate (FDR) corrections (Benjamini and Hochberg, 1995; García, 2004).”
Reconstruction of the colonization of southern Madagascar by introduced Rattus rattus (2005, methodology): “Because the application of the sequential Bonferroni rule in ecological studies has been the subject of controversy (Perneger, 1998; Moran, 2003; Garcia, 2004; Nakagawa, 2004), we present both uncorrected and adjusted P-values.”
A comparison of approaches for modelling the occurrence of marine animals (2008, methodology): “be applied to reduce the chance of a type 1 error (but see Devlin et al., 2003; Garcia, 2004).”
Beyond Bonferroni: less conservative analyses for conservation genetics (2006, background): “Bonferroni corrections are effective at controlling aEW, but the correction is very conservative and power (the proportion of the false null hypotheses that are correctly rejected) is greatly reduced (Hochberg 1988; Ryman and Jorde 2001; Garcia 2004).”
INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (2006, background): “The FDR recaptures much of the power sacrificed by Bonferroni approaches, especially when a large number of hypotheses are tested (Garcia 2004; Verhoeven et al. 2005), and certain types of positive dependence among the tests can be accommodated (Benjamini & Yekutieli 2001).”
A comparative network analysis of social style in macaques (2011, background): “Sequential Bonferroni correctionwasused (step-downsequential:Holm1979;García 2004) for multiple variables analyses.”
Cumulative impacts of seabed trawl disturbance on benthic biomass, production, and species richness in different habitats (2006, methodology): “An asterisk (*) indicates significance after step-up false discovery rate correction, an alternative to Bonferroni corrections (Garcia 2004), with a familywise p = 0.”
Profiling invasive fish species: the importance of phylogeny and human use (2005, methodology): “The Benjamini and Hochberg (1995) procedure has more statistical power and robustness than familywise error rate procedures among other advantages (García, 2004).”
Implementing false discovery rate control: increasing your power (2005, methodology): “In common with the Holm’s step-down (1979) and Hochberg’s step-up (1988) sequential Bonferroni procedures, the Benjamini and Hochberg FDR method is conservative in the sense that it controls FDR no matter how many of the m tests are true null cases (m0).”
Scaling of Food-Web Properties with Diversity and Complexity Across Ecosystems (2010, background): “Family-wise corrections of Type I error probability for such a large number of comparisons (Peres-Neto, 1999) render the power of the tests uninformatively low (Garcı́a, 2004; Moran, 2003).”
A practical guide for using statistical tests to assess randomized algorithms in software engineering (2011, methodology): “Notice that there are other adjustment techniques that are equivalent to Bonferroni but that are less conservative [19].”
Tree growth changes with climate and forest type are associated with relative allocation of nutrients, especially phosphorus, to leaves and wood (2013, methodology): “In the multiple correlations, we used false discovery rate to correct for the alpha inflation (García, 2004).”
Genetic differentiation and plasticity interact along temperature and precipitation gradients to determine plant performance under climate change (2017, background): “Still any such correction is considered as too conservative by some authors (e.g. Moran 2003; Garcia 2004; Gotelli & Ellison 2004) and many studies have not applied any correction, for this reason (e.g.”
Drivers of diversity in Macaronesian spiders and the role of species extinctions (2010, background): “The Bonferroni correction, or any other similar correction, has been misused a number of times in ecological literature (Moran, 2003; Garcı́a, 2004).”
Increased temperature alters feeding behavior of a generalist herbivore (2013, methodology): “…adjustment on 144 comparisons results in an extreme correction to the critical p-value ( α 0.0003) and high likelihood of type II errors, we used the false discovery rate (FDR) correction with 144 unplanned comparisons to assess the signifi cance of post hoc pairwise t -tests (Garc í a 2004).”