Current controversies: Null hypothesis significance testing [PDF]
Acta Obstetricia et Gynecologica Scandinavica, 2022 Traditional null hypothesis significance testing (NHST) incorporating the critical level of significance of 0.05 has become the cornerstone of decision‐making in health care, and nowhere less so than in obstetric and gynecological research. However, such
Philip M. Sedgwick +3 more
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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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Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference [PDF]
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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Null hypothesis test for anomaly detection
Physics Letters B, 2023 We extend the use of Classification Without Labels for anomaly detection with a hypothesis test designed to exclude the background-only hypothesis. By testing for statistical independence of the two discriminating dataset regions, we are able to exclude ...
Jernej F. Kamenik, Manuel Szewc
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Trends in null hypothesis significance testing: Still going strong [PDF]
HeliyonNull hypothesis significance testing (NHST) is among the most prominent and widely used methods for analyzing data. At the same time, NHST has been criticized since many years because of misuses and misconceptions that can be found extensively in the ...
Frank Emmert-Streib
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Call for Special Issue Papers: Neurotrauma Reports Null Hypothesis [PDF]
Neurotrauma Reports, 2020 Neurotrauma Reports Null Hypothesis is a special section reserved for the publication of well-conducted negative, inconclusive, and replicative studies.
Dr. Andreas Jeromin, Dr. Sandra Petty
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Generating realistic null hypothesis of cancer mutational landscapes using SigProfilerSimulator [PDF]
BMC Bioinformatics, 2020 Background Performing a statistical test requires a null hypothesis. In cancer genomics, a key challenge is the fast generation of accurate somatic mutational landscapes that can be used as a realistic null hypothesis for making biological discoveries ...
Erik N. Bergstrom +3 more
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Macphail’s Null Hypothesis of Vertebrate Intelligence: Insights From Avian Cognition [PDF]
Frontiers in Psychology, 2020 Macphail famously criticized two foundational assumptions that underlie the evolutionary approach to comparative psychology: that there are differences in intelligence across species, and that intelligent behavior in animals is based on more than ...
Amalia P. M. Bastos, Alex H. Taylor
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Evidence against vs. in favour of a null hypothesis [PDF]
Perspectives on Medical Education, 2017 None
Jimmie Leppink +2 more
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A logical analysis of null hypothesis significance testing using popular terminology [PDF]
BMC Medical Research Methodology, 2022 Background Null Hypothesis Significance Testing (NHST) has been well criticised over the years yet remains a pillar of statistical inference. Although NHST is well described in terms of statistical models, most textbooks for non-statisticians present the
Richard McNulty
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