Articles with "statistical significance" as a keyword



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Geometry‐derived statistical significance: A probabilistic framework for detecting true positive findings in MRI data

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Published in 2023 at "Brain and Behavior"

DOI: 10.1002/brb3.2865

Abstract: The false discovery rate (FDR) procedure does not incorporate the geometry of the random field and requires high statistical power at each voxel, a requirement not satisfied by the limited number of participants in imaging… read more here.

Keywords: statistical significance; probabilistic framework; geometry; significance probabilistic ... See more keywords
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Assessing risk factors with information beyond P value thresholds: Statistical significance does not equal clinical importance

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Published in 2020 at "Cancer"

DOI: 10.1002/cncr.33369

Abstract: SELECTING PREDICTORS OF INTEREST BASED ON STATISTICAL SIGNIFICANCE Observational studies published in Cancer may seek to identify risk factors for an outcome of interest by using multivariable models or multiple univariable models if the sample… read more here.

Keywords: statistical significance; assessing risk; value; risk factors ... See more keywords
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Quantification of behavioral data with effect sizes and statistical significance tests.

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Published in 2022 at "Journal of applied behavior analysis"

DOI: 10.1002/jaba.938

Abstract: This article describes the use of statistical significance tests and distance-based effect sizes with behavioral data from single case experimental designs (SCEDs). Such data often are interpreted only with visual analysis. However, a growing movement… read more here.

Keywords: significance tests; statistical significance; significance; behavioral data ... See more keywords
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The p value wars (again)

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Published in 2019 at "European Journal of Nuclear Medicine and Molecular Imaging"

DOI: 10.1007/s00259-019-04467-5

Abstract: More than 800 researchers, many of them prominent biostatisticians, called to “raise up against the p-value.” [1] This recent battle cry was just the climax of a growing insurrection, which prominently surfaced in 2018 when… read more here.

Keywords: multiple comparisons; statistical significance; salmon; value ... See more keywords
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BSig: evaluating the statistical significance of biclustering solutions

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Published in 2017 at "Data Mining and Knowledge Discovery"

DOI: 10.1007/s10618-017-0521-2

Abstract: Statistical evaluation of biclustering solutions is essential to guarantee the absence of spurious relations and to validate the high number of scientific statements inferred from unsupervised data analysis without a proper statistical ground. Most biclustering… read more here.

Keywords: statistical significance; biclustering solutions; bsig evaluating; significance ... See more keywords
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The distribution of P-values in medical research articles suggested selective reporting associated with statistical significance.

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Published in 2017 at "Journal of clinical epidemiology"

DOI: 10.1016/j.jclinepi.2017.04.003

Abstract: OBJECTIVES Published P-values provide a window into the global enterprise of medical research. The aim of this study was to use the distribution of published P-values to estimate the relative frequencies of null and alternative… read more here.

Keywords: statistical significance; research; distribution values; research articles ... See more keywords
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The fragility of trial results involves more than statistical significance alone.

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Published in 2020 at "Journal of clinical epidemiology"

DOI: 10.1016/j.jclinepi.2020.02.011

Abstract: OBJECTIVES The fragility of clinical trial findings has been previously defined as the number of changes in outcomes that are required to change their statistical significance. We show that reliance on statistical significance alone provides… read more here.

Keywords: statistical significance; clinical importance; trial results; significance alone ... See more keywords
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The statistical significance filter leads to overoptimistic expectations of replicability

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Published in 2018 at "Journal of Memory and Language"

DOI: 10.1016/j.jml.2018.07.004

Abstract: Abstract It is well-known in statistics (e.g., Gelman & Carlin, 2014) that treating a result as publishable just because the p-value is less than 0.05 leads to overoptimistic expectations of replicability. These effects get published,… read more here.

Keywords: statistical significance; replicability; significance filter; expectations replicability ... See more keywords
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Physical activity and prenatal depression: going beyond statistical significance by assessing the impact of reliable and clinical significant change

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Published in 2020 at "Psychological Medicine"

DOI: 10.1017/s0033291719003714

Abstract: Abstract Background Previous literature supports exercise as a preventative agent for prenatal depression; however, treatment effects for women at risk for prenatal depression remain unexplored. The purpose of the study was to examine whether exercise… read more here.

Keywords: statistical significance; significant change; prenatal depression; depression ... See more keywords
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Scientists rise up against statistical significance

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Published in 2019 at "Nature"

DOI: 10.1038/d41586-019-00857-9

Abstract: Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories call for an end to hyped claims and the dismissal of possibly crucial effects.Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories… read more here.

Keywords: scientists rise; statistical significance; rise statistical;
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It’s time to talk about ditching statistical significance

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Published in 2019 at "Nature"

DOI: 10.1038/d41586-019-00874-8

Abstract: Looking beyond a much used and abused measure would make science harder, but better.Looking beyond a much used and abused measure would make science harder, but better. read more here.

Keywords: talk ditching; time talk; statistical significance; ditching statistical ... See more keywords