Results 21 to 30 of about 21,046,542 (243)
Background Until recently a typical rule that has often been used for the endorsement of new medications by the Food and Drug Administration has been the existence of at least two statistically significant clinical trials favoring the new medication ...
Don van Ravenzwaaij +1 more
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These tables are part of the Chapter 2 'Conceptualizing the diverse values of nature and their contributions to people' of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on ...
David González
core +1 more source
These figures are part of the Chapter 2 'Conceptualizing the diverse values of nature and their contributions to people' of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on ...
David González
core +1 more source
Variable Selection with Second-Generation P-Values
Many statistical methods have been proposed for variable selection in the past century, but few balance inference and prediction tasks well. Here we report on a novel variable selection approach called Penalized regression with Second-Generation P-Values
Yi Zuo (1556965) +2 more
core +1 more source
Background Despite its popularity as an inferential framework, classical null hypothesis significance testing (NHST) has several restrictions. Bayesian analysis can be used to complement NHST, however, this approach has been underutilized largely due to ...
Daniel S. Quintana, Donald R. Williams
doaj +1 more source
Are P values given more importance than they deserve?
In many of the scientific reports, the conclusions are based on the P values. The results are dichotomized based on the cutoff of P values. Often, the clinical significance is ignored over statistical significance.
Vivek Aggarwal, Mamta Singla
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P-values – a chronic conundrum
Background In medical research and practice, the p-value is arguably the most often used statistic and yet it is widely misconstrued as the probability of the type I error, which comes with serious consequences.
Jian Gao
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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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REACT to NHST: Sensible conclusions for meaningful hypotheses [PDF]
While Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings in its common usage, such as conflating statistical and practical significance, the formulation of inappropriate null ...
Izbicki, Rafael +5 more
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