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Current controversies: Null hypothesis significance testing
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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Appropriate statistical analysis is vital to the integrity of the scientific record, but experience and intuition also play a role in interpreting results. Scientific progress should not be hampered through statistical over‐evaluation.
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It is incredibly essential that the current clinicians and researchers remain updated with findings of current biomedical literature for evidence-based medicine.
Hunny Sharma
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A logical analysis of null hypothesis significance testing using popular terminology
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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The tyranny of the P-value: effect size matters
Statistical significance does not necessarily imply clinical significance. A P-value of less than 0.05 does not guarantee that the result will be important. Effect size needs to be calculated in order to appraise clinical relevance.
Leslie Citrome
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How feasible is it to abandon statistical significance? A reflection based on a short survey
Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the
Fredi Alexander Diaz-Quijano +2 more
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Statistical significance tests. [PDF]
Abstract A broad account is given of statistical significance tests outlining their role and their limitations in the careful analysis of data.
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Talking about Statistical Significance in Numeracy
In recent years, much debate has surrounded the potential for audiences to be mislead by several common practices when reporting statistical significance tests. Two editors of Numeracy share the journals perspectives on these questions.
Nathan Grawe, Gizem Karaali
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The statistical significance of the superhump signal in U Gem [PDF]
Although its well determined mass ratio of $q=\Msec/\Mwd=0.357\pm0.007$ should avoid superoutbursts according to the thermal tidal instability model, the prototypical dwarf nova U Gem experienced in 1985 an extraordinary long outburst resembling very ...
Hameury +27 more
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Errors of Econometric Methodology in the Study of Economics Theories [PDF]
Scientific theories are a way of knowing man. The main difference between this method and other methods is the testability of its claims. Testability helps to correct scientific knowledge of error.
Mojtaba Rostami +3 more
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