What would judgment and decision making research be like if we took a Bayesian approach to hypothesis testing? [PDF]
Judgment and Decision Making, 2011 Judgment and decision making research overwhelmingly uses null hypothesis significance testing as the basis for statistical inference. This article examines an alternative, Bayesian approach which emphasizes the choice between two competing hypotheses ...
William J. Matthews
doaj
On the Power of Some Nonparametric Isotropy Tests
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 In this paper, properties of nonparametric significance tests verifying the random field isotropy hypothesis are discussed. In particular, the subject of the conducted analysis is the probability of rejecting the null hypothesis when it is true.
Krzysztof Szymoniak-Książek
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How Strong is the Confirmation of a Hypothesis by Significant Data? [PDF]
, 2013 The aim of the article is to determine how much a hypothesis H is actually confirmed if it has successfully passed a classical significance test. Bayesians have already raised many serious objections against significance testing, but in doing so they ...
Bartelborth, Thomas
core
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Null hypothesis significance testing defended and calibrated by Bayesian model checking
, 2018 Null hypothesis significance testing is often criticized because attaining statistical significance does not necessarily imply that the posterior probability is low relative to to the prior probability.
Bickel, David R.
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Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
Recommendations for statistical analysis involving null hypothesis significance testing
, 2023 Recommendations for statistical analysis involving null hypothesis significance ...
G T G Hughes (13493614) +9 more
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Ordinal pattern analysis in comparative psychology - A flexible alternative to null hypothesis significance testing using an observation oriented modeling paradigm [PDF]
, 2018 The data of comparative psychology generally differ from the majority of data collected within mainstream psychology in several key respects – most notably in the diversity of forms of measurement and fewer number of subjects.
Craig, David Philip Arthur +1 more
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Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
A Frequentist Alternative to Significance Testing, p-Values, and Confidence Intervals
Econometrics, 2019 There has been much debate about null hypothesis significance testing, p-values without null hypothesis significance testing, and confidence intervals. The first major section of the present article addresses some of the main reasons these procedures are
David Trafimow
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