Results 11 to 20 of about 2,154,427 (125)

Common pitfalls in statistical analysis: Clinical versus statistical significance

open access: yesPerspectives 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
doaj   +1 more source

Common pitfalls in statistical analysis: The perils of multiple testing

open access: yesPerspectives 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
doaj   +1 more source

Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]

open access: yesKorean 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
doaj   +1 more source

Atypical Teratoid Rhabdoid Tumor: Two Case Reports and an Analysis of Adult Cases with Implications for Pathophysiology and Treatment

open access: yesFrontiers 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
doaj   +1 more source

Statistical Inference: The Big Picture [PDF]

open access: yesStatistical Science 2011, Vol. 26, No. 1, 1-9, 2011
Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results? I suggest that a philosophy compatible with statistical practice, labeled here statistical pragmatism, serves as a foundation for inference.
arxiv   +1 more source

Is the Bland-Altman plot method useful without inferences for accuracy, precision, and agreement? [PDF]

open access: yesRevista de Saúde Pública
OBJECTIVE 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
doaj   +1 more source

Correlation between histomorphometric changes and the type of aerobic bacteria isolated in chronic suppurative otitis media [PDF]

open access: yesVojnosanitetski Pregled, 2011
Background/Aim. Bacterial flora is a very important factor in pathogenesis of chronic suppurative otitis media (CSOM) and significantly influences the type and intensity of osteolytic process.
Živković-Marinkov Emilija   +3 more
doaj   +1 more source

Understanding sensitivity, specificity and predictive values [PDF]

open access: yesVojnosanitetski Pregled, 2014
nema
Stojanović Miodrag   +6 more
doaj   +1 more source

Total Empiricism: Learning from Data [PDF]

open access: yesarXiv, 2023
Statistical analysis is an important tool to distinguish systematic from chance findings. Current statistical analyses rely on distributional assumptions reflecting the structure of some underlying model, which if not met lead to problems in the analysis and interpretation of the results.
arxiv  

Risk factors for recurrent vulvovaginal candidiasis [PDF]

open access: yesVojnosanitetski Pregled, 2010
Background/Aim. Recurrent vulvovaginal candidiasis is relatively frequent condition, and may have serious health consequences, like chronic vulvovaginal pain syndrome. The aim of our study was to determine possible risk factors for recurrent vulvovaginal
Janković Slobodan   +13 more
doaj   +1 more source

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