When significance becomes insignificant: Effect sizes and their uncertainties in Bayesian and frequentist frameworks as an alternative approach when analyzing ecotoxicological data.
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DOI: 10.1002/etc.4127
Abstract: Bayesian methods and frequentist confidence intervals are proposed as an alternative approach in ecotoxicology, emphasizing effect sizes and associated (un)certainties to judge the biological relevance of effects instead of basing decisions on p values. These… read more here.
Keywords: frequentist; effect; alternative approach; significance ... See more keywords
Frequentist operating characteristics of Bayesian optimal designs via simulation.
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DOI: 10.1002/sim.8279
Abstract: Bayesian adaptive designs have become popular because of the possibility of increasing the number of patients treated with more beneficial treatments, while still providing sufficient evidence for treatment efficacy comparisons. It can be essential, for… read more here.
Keywords: frequentist; medicine; trial; power ... See more keywords
Theory and practice of Bayesian and frequentist frameworks for network meta-analysis
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DOI: 10.1136/bmjebm-2022-111928
Abstract: Network meta-analysis (NMA) is an increasingly popular statistical method of synthesising evidence to assess the comparative benefits and harms of multiple treatments in a single analysis. Several automated software packages facilitate conducting NMA using either… read more here.
Keywords: frequentist; analysis; bayesian frequentist; network meta ... See more keywords
Speaking on Data’s Behalf: What Researchers Say and How Audiences Choose
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DOI: 10.1177/0193841x19834968
Abstract: Background: Bayesian statistics have become popular in the social sciences, in part because they are thought to present more useful information than traditional frequentist statistics. Unfortunately, little is known about whether or how interpretations of… read more here.
Keywords: frequentist; researchers say; behalf researchers; data behalf ... See more keywords
Frequentist and Bayesian Quantum Phase Estimation
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DOI: 10.3390/e20090628
Abstract: Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter. We compare the two frameworks and their sensitivity bounds to the… read more here.
Keywords: frequentist; phase estimation; estimation; frequentist bayesian ... See more keywords
Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria
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DOI: 10.3390/e23020190
Abstract: A common concern with Bayesian methodology in scientific contexts is that inferences can be heavily influenced by subjective biases. As presented here, there are two types of bias for some quantity of interest: bias against… read more here.
Keywords: frequentist; inferences relation; bayesian inferences; bias bayesian ... See more keywords
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
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DOI: 10.3390/e24101328
Abstract: In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Bayes factor and is helpful for the informative priors, as… read more here.
Keywords: bayes factor; test; frequentist analysis; frequentist ... See more keywords