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The power of confidence intervals [PDF]
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2002 We connect the power of Confidence Intervals in different Frequentist methods to their reliability. We show that in the case of a bounded parameter a biased method which near the boundary has large power in testing the parameter against larger alternatives and small power in testing the parameter against smaller alternatives is desirable.
GIUNTI C, LAVEDER, MARCO
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The fallacy of placing confidence in confidence intervals [PDF]
Psychonomic Bulletin & Review, 2015 Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - have long been touted as a key component of statistical analyses. There are several kinds of interval estimates, but the most popular are confidence intervals (CIs): intervals that contain the true parameter value in some known proportion of repeated ...
Morey, Richard D +4 more
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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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A justification of conditional confidence intervals [PDF]
Electronic Journal of Statistics, 2021 To quantify uncertainty around point estimates of conditional objects such as conditional means or variances, parameter uncertainty has to be taken into account. Attempts to incorporate parameter uncertainty are typically based on the unrealistic assumption of observing two independent processes, where one is used for parameter estimation, and the ...
Alexander Heinemann +2 more
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Using the confidence interval confidently [PDF]
Journal of Thoracic Disease, 2017 Biomedical research is seldom done with entire populations but rather with samples drawn from a population. Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a
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A calculator for confidence intervals [PDF]
Computer Physics Communications, 2002 A calculator program has been written to give confidence intervals on branching ratios for rare decay modes (or similar quantities) calculated from the number of events observed, the acceptance factor, the background estimate and the associated errors.
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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 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 wish to offer the new treatment to our own patients.
Thomas Ravi +3 more
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Varieties of Confidence Intervals
Advances in Cognitive Psychology, 2017 Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and based on the experimental design (within- or between-group designs). Confidence intervals (CIs) can also be adjusted to
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Confidence with confidence intervals [PDF]
British Journal of Anaesthesia, 2005 M.O. Columb, H.E. Thomson
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