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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.

1 vote

(−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 …
sharoz's user avatar
  • 217
14 votes
3 answers
1k views

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 …
sharoz's user avatar
  • 217
2 votes

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) / ( …
sharoz's user avatar
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