Arguments for rejecting the sequential Bonferroni in ecological studies

By M. Moran. 2003

1,558 citations recorded by the source corpus.

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Citations in the corpus

Patterns of plant traits in annual vegetation of man-made habitats in central Europe (2006, background): “However, it is not clear whether this correction is needed when (i) the same data set is analysed repeatedly, or (ii) the same hypothesis is analysed repeatedly, or (iii) in all the tests calculated in the same paper, or, as an extreme, (iv) for all tests performed in a scientist’s life-time (Cabin ”
Historic disturbance regimes promote tree diversity only under low browsing regimes in eastern deciduous forest (2013, methodology): “Although we performed many statistical tests, we did not adjust P values because tests were used collectively, not in isolation, to address a priori hypotheses of wholecommunity response (see Moran 2003).”
Geographic effects on American eel (Anguilla rostrata) life history characteristics and strategies (2010, methodology): “The statistical significance of the correlations examined was not adjusted by the Bonferroni procedure because it is overly conservative and may be misguided in ecological studies (Moran 2003).”
ECOSYSTEM EFFECTS OF BIODIVERSITY MANIPULATIONS IN EUROPEAN GRASSLANDS (2005, methodology): “The mathematical, logical, and practical arguments against applying multiple comparison methods, particularly in situations like our own, can be found in more detail in Moran (2003) and references therein.”
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.”
Beetle Responses to Habitat Fragmentation Depend on Ecological Traits, Habitat Condition, and Remnant Size (2005, background): “Bonferroni adjustment of p values for multiple tests is overconservative, and there appears to be little justification for its application (Moran 2003).”
Soil feedbacks of plant diversity on soil microbial communities and subsequent plant growth (2005, methodology): “We did not apply corrections, such as Bonferroni methods, for multiple testing, because they are notorious for their extreme reductions of statistical power under these circumstances (Moran, 2003).”
Male common loons, Gavia immer, communicate body mass and condition through dominant frequencies of territorial yodels (2007, methodology): “We used the sequential Bonferroni method (Rice 1989) to determine statistical significance of our 40 multiple correlation analyses, but we report all correlations for which P values were below 0.05 to avoid being too conservative (Moran 2003).”
Data reliability in citizen science: learning curve and the effects of training method, volunteer background and experience on identification accuracy of insects visiting ivy flowers (2016, background): “The a-level was not adjusted for multiple models since our aim was to provide an exploratory analysis across a wide range of insect taxa (Moran 2003).”
Reduced competitive ability in an invasive plant (2004, methodology): “To account for multiple statistical tests of the same hypothesis, we calculated the expected probabilities of finding significant results and compared these with observed frequencies instead of using overly conservative Bonferroni procedures ( Moran 2003 ).”
Resource Heterogeneity Moderates the Biodiversity-Function Relationship in Real World Ecosystems (2008, methodology): “Although this risk is often ignored in multifactor models, the probability of obtaining multiple significant effects can be easily calculated using a Bernoulli process [44]: p 1⁄4 [N!/(N K)!K!] 3 a(1 a) , where N1⁄4 the number of ‘‘tests’’ and K1⁄4 the number of tests below a.”
Bat diversity and abundance associated with the degree of secondary succession in a tropical forest mosaic in south‐eastern Mexico (2007, methodology): “However, the trends for the other species remain strong, and we have not applied a Bonferroni’s correction in this study due to the recent critique of this approach (Moran, 2003).”
Context-Related Variation in the Vocal Growling Behaviour of the Domestic Dog (Canis familiaris) (2009, methodology): “Based on the recommendations of Moran (2003) and Nakagawa (2004), we did not apply a multiple testing correction; however, we reported exact statistical results for all positive results, including full p values.”