Results 1 to 10 of about 4,175 (169)

Transparency considerations for describing statistical analyses in research [PDF]

Korean Journal of Anesthesiology, 2021
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

GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020
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]

Archives of Aesthetic Plastic Surgery, 2016
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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Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy

Scandinavian Journal of Primary Health Care, 2021
Objective Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The aim of
Steindor Ellertsson, Hrafn Loftsson, Emil L. Sigurdsson   +2 more
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Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine [PDF]

International Neurourology Journal, 2014
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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Common pitfalls in statistical analysis: The use of correlation techniques

Perspectives in Clinical Research, 2016
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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Index of orthodontic treatment need in children from the Niš region [PDF]

Vojnosanitetski Pregled, 2015
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, Stošić Maja, Janošević Mirjana, Radojičić Julija, Filipović Gordana, Čutović Tatjana   +5 more
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Comprehensive guidelines for appropriate statistical analysis methods in research [PDF]

Korean Journal of Anesthesiology
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, Dong Hyuck Kim, Sang Gyu Kwak   +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, C S Pramesh, Marc Buyse   +2 more
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Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]

Korean Journal of Anesthesiology, 2016
Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
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