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Confidence with confidence intervals
Indian Journal of Ophthalmology, 1997 When considering the results of a study that reports one treatment to be better than another, what the practicing ophthalmologist really wants to know is the magnitude of the difference between treatment groups. If this difference is large enough, we may
Thomas Ravi +3 more
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Some misunderstandings in psychology about confidence intervals [PDF]
Frontiers in Psychology, 2022 Tadamasa Sawada +4 more
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The Effect of the Outliers and Leverage Points in the Construction of the Bayesian and Bootstrap Confidence Intervals [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 The aim of this research is to compare the bootstrap confidence intervals with the Bayesian confidence intervals for smoothing splines as well as the traditional confidence intervals to determine which of these limits are best in the presence of Outliers
Muzahim Mohammed
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Confidence intervals and other statistical intervals in metrology [PDF]
International Journal of Metrology and Quality Engineering, 2012 Typically, a measurement is regarded as being incomplete without a statement of uncertainty being provided with the result. Usually, the corresponding interval of measurement uncertainty will be an evaluated confidence interval, assuming that the ...
Willink R.
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Confidence intervals for fMRI activation maps. [PDF]
PLoS ONE, 2013 Neuroimaging activation maps typically color voxels to indicate whether the blood oxygen level-dependent (BOLD) signals measured among two or more experimental conditions differ significantly at that location.
Stephen A Engel, Philip C Burton
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Becoming confident about confidence intervals [PDF]
The Bone & Joint Journal, 2017 A clear understanding of variability is at the heart of many of the studies published in The Bone & Joint Journal . The terms variability, dispersion, spread, distribution and variance, amongst others, are used to refer to the range of values within a dataset.
Perry, DC +5 more
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Confidence Intervals of COVID-19 Vaccine Efficacy Rates
Numeracy, 2021 This tutorial uses publicly available data from drug makers and the Food and Drug Administration to guide learners to estimate the confidence intervals of COVID-19 vaccine efficacy rates with a Bayesian framework.
Frank Wang
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Significant results: statistical or clinical? [PDF]
Korean Journal of Anesthesiology, 2016 The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits and shortcomings. Readers will know its shortcomings,
Sangil Park
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Generalized Confidence Intervals for Zero-Inflated Pareto Distribution
Mathematics, 2021 This paper considers interval estimations for the mean of Pareto distribution with excess zeros. Three approaches for interval estimation are proposed based on fiducial generalized pivotal quantities (FGPQs), respectively.
Xiao Wang, Xinmin Li
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Multivariate Confidence Intervals [PDF]
, 2017 Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effect size. However, very little work exists on applying confidence intervals to multivariate data.
Korpela, Jussi +4 more
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