Results 11 to 20 of about 10,336,836 (232)
The insignificance of statistical significance [PDF]
European Journal of General Practice, 2011 Medical research will not improve if we simply interpret our results using the clear-cut diff erence between statistical significance and non-significanceMedical researchers should be more interest...
Aarts, Sil +2 more
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Common pitfalls in statistical analysis: Clinical versus statistical significance
Perspectives in Clinical Research, 2015 In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on ...
Priya Ranganathan +2 more
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Statistical Significance versus Clinical Relevance: Key Considerations in Interpretation Medical Research Data [PDF]
Indian Journal of Community MedicineMedical research plays a crucial role in advancing our understanding of various aspects related to health, including disease, risk factors, and patient management.
Yousif AbdulRaheem
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The magical influence of statistical significance
مجلة العلوم التربوية, 2004 This paper examined 1122 statistical tests found in 55 master theses accredited during 1995-2000 at Mu'tah University. It tried to answer two main questions: First, do researchers still relying on the level of significance (a) as the only criterion to ...
عبدالله الصمادي +1 more
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Statistical significance of cis-regulatory modules
BMC Bioinformatics, 2007 Background It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding sites forming cis-regulatory modules.
Smith Andrew D +2 more
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The statistical significance of suffering. [PDF]
PLoS Medicine, 2005 Kristen Suthers
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Beyond statistical significance
The Journal of Indian Prosthodontic Society, 2019 N Gopi Chander
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PCAtest: testing the statistical significance of Principal Component Analysis in R
PeerJ, 2022 Principal Component Analysis (PCA) is one of the most broadly used statistical methods for the ordination and dimensionality-reduction of multivariate datasets across many scientific disciplines.
Arley Camargo
semanticscholar +1 more source
Statistical Significance, p-Values, and the Reporting of Uncertainty
Journal of Economic Perspectives, 2021 The use of statistical significance and p-values has become a matter of substantial controversy in various fields using statistical methods. This has gone as far as some journals banning the use of indicators for statistical significance, or even any ...
G. Imbens
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Trustworthiness of statistical inference [PDF]
, 2021 We examine the role of trustworthiness and trust in statistical inference, arguing that it is the extent of trustworthiness in inferential statistical tools which enables trust in the conclusions. Certain tools, such as the p‐value and significance test,
Hand, David
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