Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines [PDF]
Patterns, 2020 Summary: Making binary decisions is a common data analytical task in scientific research and industrial applications. In data sciences, there are two related but distinct strategies: hypothesis testing and binary classification.
Jingyi Jessica Li, Xin Tong
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Interpreting "statistical hypothesis testing" results in clinical research
Journal of Ayurveda and Integrative Medicine, 2012 Difference between "Clinical Significance and Statistical Significance" should be kept in mind while interpreting "statistical hypothesis testing" results in clinical research.
Sanjeev B Sarmukaddam
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A critique of statistical hypothesis testing in clinical research
Journal of Ayurveda and Integrative Medicine, 2011 Many have documented the difficulty of using the current paradigm of Randomized Controlled Trials (RCTs) to test and validate the effectiveness of alternative medical systems such as Ayurveda.
Somik Raha
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A Fuzzy Take on the Logical Issues of Statistical Hypothesis Testing [PDF]
Philosophies, 2021 Statistical Hypothesis Testing (SHT) is a class of inference methods whereby one makes use of empirical data to test a hypothesis and often emit a judgment about whether to reject it or not. In this paper, we focus on the logical aspect of this strategy,
Matthew Booth, Fabien Paillusson
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BMC Bioinformatics, 2006 Background Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes.
Langaas Mette +9 more
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There are no alternative hypotheses in tests of null hypotheses [PDF]
Frontiers in PsychologyNull hypothesis statistical testing (NHST) is typically taught by first posing a null hypothesis and an alternative hypothesis. This conception is sadly erroneous as there is no alternative hypothesis in the NHST.
Denis Cousineau
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Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC [PDF]
Frontiers in Ecology and Evolution, 2019 The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis +4 more
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A study on the criticism and alternatives about statistical hypothesis testing of sport management in Korea [PDF]
Cheyuk gwahag yeon-gu, 2020 Purpose This study was aimed at laying out criticism regarding statistical hypothesis testing and presenting realistic alternatives focused on published studies of sports management in Korea.
Sanghyun Park
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Statistical Hypothesis Testing for Asymmetric Tolerance Index
Applied Sciences, 2021 Many of the nominal-the-best quality characteristics of important machine tool components, such as inner or outer diameters, have asymmetric tolerances. An asymmetric tolerance index is a function for the average of the process and the standard deviation.
Kuen-Suan Chen +3 more
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Statistical hypothesis testing: general approach in medical research
Сеченовский вестник, 2021 Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested.
A. Yu. Suvorov +6 more
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