Results 41 to 50 of about 583,857 (303)
Bleeding, Thrombosis and Vascular Biology, 2022 Scientific literature is overflowing of significance testing and p-values.
Augusto Di Castelnuovo +1 more
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Conservative Hypothesis Tests and Confidence Intervals using Importance Sampling [PDF]
, 2011 Importance sampling is a common technique for Monte Carlo approximation, including Monte Carlo approximation of p-values. Here it is shown that a simple correction of the usual importance sampling p-values creates valid p-values, meaning that a ...
Harrison, Matthew T.
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Frontiers in Neuroinformatics, 2021 Classical null hypothesis significance testing is limited to the rejection of the point-null hypothesis; it does not allow the interpretation of non-significant results. This leads to a bias against the null hypothesis.
Ruslan Masharipov +6 more
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Reflections Concerning Recent Ban on NHST and Confidence Intervals [PDF]
, 2016 This letter addresses some of the immediate consequences of Basic and Applied Social Psychology’s (BASP) ban on null hypothesis significance testing (NHST) and confidence intervals.
Baird, Grayson L, Duerr, Sunny R
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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 +2 more
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On the Influence of Religious Assumptions in Statistical Methods Used in Science
Religions, 2020 For several centuries, statistical testing has been used to support evolutionary theories. Given the diverse origins and applications of these tests, it is remarkable how consistent they are.
Cornelius Hunter
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An Alternative to Null-Hypothesis Significance Tests [PDF]
Psychological Science, 2005 The statistic Prep estimates the probability of replicating an effect. It captures traditional publication criteria for signal-to-noise ratio, while avoiding parametric inference and the resulting Bayesian dilemma. In concert with effect size and replication intervals, Prep provides all of the information now used in evaluating research, while ...
openaire +2 more sources
Microarrays, Empirical Bayes and the Two-Groups Model [PDF]
, 2008 The classic frequentist theory of hypothesis testing developed by Neyman, Pearson and Fisher has a claim to being the twentieth century's most influential piece of applied mathematics.
Efron, Bradley
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Teaching & Learning Inquiry: The ISSOTL Journal, 2016 Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine
April McGrath
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Significance testing in quantile regression [PDF]
, 2012 We consider the problem of testing significance of predictors in multivariate nonparametric quantile regression. A stochastic process is proposed, which is based on a comparison of the responses with a nonparametric quantile regression estimate under the
Birke, Melanie +3 more
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