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A confidence interval is an interval that covers an unknown parameter with $100(1-\alpha)\%$ confidence. Confidence intervals are a frequentist concept. They are often confused with credible intervals which is the Bayesian analog.
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(−2.8; 95% CI, −4.2 to −1.4; p < 0.001) interpretation
To get the value, they subtracted group A from group B (B - A). If B is bigger, you'd get a positive number. If A is bigger, you'd get a negative number.
Here, they subtracted stress intensity at the …
14
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3
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Why is AIC not reported with a confidence interval?
In parameter estimation, it's common to report a 95% CI around each parameter. Why don't I see AIC (or deltaAIC) with a CI?
If I bootstrap the fitting of two potential models, and get a deltaAIC for e …
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How comparing two confidence intervals
A useful approach would be to compute an effect size, such as Cohen's d.
Then you could report the size and direction of an effect size and its 95% confidence interval.
Cohen's D = (mean1 - mean2) / ( …