Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective

By Roger Mundry. Behavioral Ecology and Sociobiology, 2010

132 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Small Animals

View Paper: https://www.semanticscholar.org/paper/37a01c8f7a261fb29d9b275bb9671dd6eb56b7ec

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In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

In Small Animals

Citations in the corpus

Statistical Issues and Assumptions of Phylogenetic Generalized Least Squares (2014, background): “However, it must be clearly stated that model selection and significance testing are two approaches to statistical inference that are not conformable (e.g., Burnham and Anderson 2002; Mundry 2011), and once model selection has been applied, significance tests are meaningless.”
Using information theory as a substitute for stepwise regression in ecology and behavior (2010, unknown): “Other papers discuss philosophical and practical issues that create a wide gap between IT and NHT-stepwise methods (Burnham et al. 2010; Mundry 2010) or emphasize one concrete weakness of NHT-stepwise methods (Forstmeier and Schielzeth 2010).”
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion (2010, background): “Mundry (2010) and Burnham et al. (2010) provide discussion of the philosophical and inferential differences between the NHST approach and IT-AIC approach.”
A brief introduction to mixed effects modelling and multi-model inference in ecology (2018, methodology): “For example, in controlled experimental studies a researcher may wish to test the effect of a limited number of treatments and support estimates of effect sizes with statements of statistical significance using model simplification (Mundry 2011).”
Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework (2010, background): “For simple analyses, the benefits are largely philosophical, and operational differences are likely to be slight (see also Mundry 2010 ).”
Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction (2010, methodology): “In other words, NHT and IT approaches differ with regard to how inference is drawn, but not with regard to computation and model fitting (Mundry 2010).”
Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations (2014, background): “In the same way that a p-value is not a measure of effect size (Nakagawa & Cuthill 2007, Mundry 2011), large SW should certainly not be interpreted as denoting large effects.”