Transparency considerations for describing statistical analyses in research [PDF]
Researchers who use the results of statistical analyses to draw conclusions about collected data must write a statistical analysis section in their manuscript. Describing statistical analyses in precise detail is as important as presenting the dosages of
Sang Kyu Kwak, Jonghae Kim
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Fisher’s significance test: A gentle introduction
The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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Frontalis Transfer and Closed Silicone Rod Frontalis Suspension [PDF]
Background Improvements in the degree of marginal reflex distance 1 (MRD1) were compared before and after use of the frontalis transfer (FT) method and closed silicone rod frontalis suspension surgery (SS) for severe blepharoptosis under general or local
Yong Jig Lee, David Dae Hwan Park
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Pitfalls and perils of survival analysis under incorrect assumptions: the case of COVID-19 data
Non-parametric survival analysis has become a very popular statistical method in current medical research. However, resorting to survival analysis when its fundamental assumptions are not fulfilled can severely bias the results.
Daniele Piovani+2 more
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Index of orthodontic treatment need in children from the Niš region [PDF]
Background/Aim. The Index of Orthodontic Treatment Need (IOTN) is a scoring system for malocclusion that consists of the two independent components: Denal Health Component (DHC) and Aesthetic Component (AC).
Janošević Predrag+5 more
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Evaluation of agreement and correlation of three occlusal indices in an assessment of orthodontic treatment need [PDF]
Background/Aim. Occlusal indices are quantitative diagnostic indicators of malocclusion severity, orthodontic treatment need, complexity and outcome.
Đorđević Jelena+2 more
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Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine [PDF]
In this article we introduce modern statistical machine learning and bioinformatics approaches that have been used in learning statistical relationships from big data in medicine and behavioral science that typically include clinical, genomic (and ...
Changwon Yoo, Luis Ramirez, Juan Liuzzi
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New Interpretable Statistics for Large Scale Structure Analysis and Generation [PDF]
We introduce Wavelet Phase Harmonics (WPH) statistics: interpretable low-dimensional statistics that describe 2D non-Gaussian fields. These statistics are built from WPH moments, which were recently introduced in the data science and machine learning community.
arxiv +1 more source
Common pitfalls in statistical analysis: The use of correlation techniques
Correlation is a statistical technique which shows whether and how strongly two continuous variables are related. In this article, which is the eighth part in a series on ′Common pitfalls in Statistical Analysis′, we look at the interpretation of the ...
Rakesh Aggarwal, Priya Ranganathan
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Comprehensive guidelines for appropriate statistical analysis methods in research [PDF]
Background The selection of statistical analysis methods in research is a critical and nuanced task that requires a scientific and rational approach. Aligning the chosen method with the specifics of the research design and hypothesis is paramount, as it ...
Jonghae Kim+2 more
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