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Confidence Intervals from Normalized Data: A correction to Cousineau (2005) [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 Presenting confidence intervals around means is a common method of expressing uncertainty in data. Loftus and Masson (1994) describe confidence intervals for means in within-subjects designs. These confidence intervals are based on the ANOVA mean squared
Richard D. Morey
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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 policy evaluation in adaptive experiments [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2019 Significance Randomized controlled trials are central to the scientific process, but they can be costly. For example, a clinical trial may assign patients to treatments that are detrimental to them.
semanticscholar +1 more source
The Automatic Construction of Bootstrap Confidence Intervals
Journal of Computational And Graphical Statistics, 2020 The standard intervals, for example, for nominal 95% two-sided coverage, are familiar and easy to use, but can be of dubious accuracy in regular practice.
B. Efron, B. Narasimhan
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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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Genome sequence-based species delimitation with confidence intervals and improved distance functions
BMC Bioinformatics, 2013 For the last 25 years species delimitation in prokaryotes (Archaea and Bacteria) was to a large extent based on DNA-DNA hybridization (DDH), a tedious lab procedure designed in the early 1970s that served its purpose astonishingly well in the absence of ...
Jan P. Meier-Kolthoff +3 more
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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
openaire +3 more sources