Results 11 to 20 of about 5,352,201 (240)
Fragilità, credibilità, controfattuale
Nell’ultimo decennio il p-value è stato sottoposto a notevoli critiche soprattutto per l’uso che se ne fa per raggiungere una conclusione dicotomica circa la significatività del risultato sperimentale (significativo o non significativo). Pertanto, da una
Enrico Ripamonti +2 more
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Synopsis: The topic in this paper has been the subject of an intense controversy over the past years. The following remarks are aimed at providing a simplified introduction to the psychological concepts of significance.
Salvatore Giacomuzzi +2 more
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Valid p-values and expectations of p-values revisited [PDF]
Annals of the Institute of Statistical Mathematics. (2020)
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Biomedical research relies on proving (or disproving) a research hypothesis, and P value becomes a cornerstone of "null hypothesis significance testing." P value is the maximum probability of getting the observed outcome by chance. For a statistical test to achieve significance, the error by chance must be less than 5%.
Amrita Sil +2 more
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The study focused on the determination of the statistical comparison of COPs of a 1.2 kW split type and 0.9 kW integrated type, with an auxiliary backup of 0.5 kW. Both tank sizes were 150 L.
Stephen Tangwe, Kanzumba Kusakana
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Cell Systems Editorial Board member Wolfgang Huber demonstrates how he thinks about small p values.
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The assessment of intrinsic credibility and a new argument for p < 0.005 [PDF]
The concept of intrinsic credibility has been recently introduced to check the credibility of ‘out of the blue’ findings without any prior support. A significant result is deemed intrinsically credible if it is in conflict with a sceptical prior derived ...
Leonhard Held
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The experiment was conducted to determine the effects of fertilizer types on plant characteristics, forage yield, seed yield and chemical composition of Rhodes grass at Bahir Dar, Ethiopia.
Anteneh Getie +2 more
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Second-Generation P-Values, Shrinkage, and Regularized Models
Second-generation p-values (SGPVs) are a novel and intuitive extension of classical p-values that better summarize the degree to which data support scientific hypotheses.
Thomas G. Stewart, Jeffrey D. Blume
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Background: The aim was to investigate inferences of statistically significant test results among persons with more or less statistical education and research experience.
Per Lytsy, Mikael Hartman, Ronnie Pingel
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