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Equivalent statistics and data interpretation [PDF]
Behavior Research Methods, 2016 Recent reform efforts in psychological science have led to a plethora of choices for scientists to analyze their data. A scientist making an inference about their data must now decide whether to report a p value, summarize the data with a standardized effect size and its confidence interval, report a Bayes Factor, or use other model comparison methods.
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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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Comprehensive guidelines for appropriate statistical analysis methods in research [PDF]
Korean Journal of AnesthesiologyBackground 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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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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Common pitfalls in statistical analysis: The perils of multiple testing
Perspectives in Clinical Research, 2016 Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding.
Priya Ranganathan +2 more
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, 2023 These are MATLAB data files of the article: The Goodness-of-Fit of Statistical Models for Trace Length Distributions and Their Interpretation (Kim et al., 2024)Detailed information about the dataset is presented in the original article.
Kim, J (via Mendeley Data)
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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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The application of cluster analysis in geophysical data interpretation [PDF]
, 2010 A clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation.
Meng, Hai-Dong +5 more
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Frontiers in Neurology, 2017 We present the first quantitative analysis of atypical teratoid rhabdoid tumors (ATRT) in adults, including two patients from our own institutions. These are of interest as one occurred during pregnancy and one is a long-term survivor.
Christopher Dardis +13 more
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Is the Bland-Altman plot method useful without inferences for accuracy, precision, and agreement? [PDF]
Revista de Saúde PúblicaOBJECTIVE This study aims to propose a comprehensive alternative to the Bland-Altman plot method, addressing its limitations and providing a statistical framework for evaluating the equivalences of measurement techniques.
Paulo Sergio Panse Silveira +2 more
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