Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints [PDF]
Frontiers in PsychologyEmpirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach rooted in the frequentist statistical tradition.
Stefano Dalla Bona +7 more
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Understanding the null hypothesis (H0) in non-inferiority trials [PDF]
Critical Care, 2017 Jihad Mallat
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The posterior probability of a null hypothesis given a statistically significant result [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 When researchers carry out a null hypothesis significance test, it is tempting to assume that a statistically significant result lowers Prob(H0), the probability of the null hypothesis being true.
Schad, Daniel J., Vasishth, Shravan
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Extending the null hypothesis to invertebrate pain sentience
Animal Sentience, 2022 In 1985 Macphail proposed his Null Hypothesis that there were no qualitative differences in intelligence across vertebrate species. A recent review of the literature has found overwhelming support for his view.
Eva Kakrada, Michael Colombo
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Bayesian reanalysis of null results reported in medicine: Strong yet variable evidence for the absence of treatment effects. [PDF]
PLoS ONE, 2018 Efficient medical progress requires that we know when a treatment effect is absent. We considered all 207 Original Articles published in the 2015 volume of the New England Journal of Medicine and found that 45 (21.7%) reported a null result for at least ...
Rink Hoekstra +3 more
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Response to: Understanding the null hypothesis (H0) in non-inferiority trials [PDF]
Critical Care, 2017 Xiang Zhou, Dawei Liu, Longxiang Su
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Computation of cumulative density of noncentral chi-square distribution in Excel [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 Noncentral distributions are obtained by transformation of their respective central distributions, and are identified by a noncentrality parameter. The noncentrality parameter measures the degree to which mean of test statistics departs, when the null ...
Sambaraju, Prasanth
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Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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Hypothesis of the scientific research [PDF]
Univerzitetska Misao, 2019 To clarify the hypotheses of scientific research and their role, it is first necessary to clarify the hypothesis concept. The hypothesis is called the initial and unsafe assumption, but it is, however, unlikely to be verified, based on which the first ...
Rexhep Bujari Remzi, Ali Azemi Bashkim
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The Null Hypothesis: Co-management doesn’t work
Rangifer, 2012 For the past 40 years I have been an active participant in all aspects of co-management from biologist and facilitator to executive director, member and chair of several organizations.
Doug Urquhart
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