Credible interval: Difference between revisions
Editor iHTS (talk | contribs) (Created page with "A range of values around the central estimate of a parameter, constructed using Bayesian methods. '''Note:''' The credible interval is the Bayesian equivalent of a confidence interval, but the interpretation of it is slightly different: the probability that a parameter is in an X% credible interval is X/100. For example, a 95% credible interval (0.82-1.36) for an odds ratio for mortality means that there is a 0.95 probability that the odds ratio in t...") |
No edit summary |
||
| Line 3: | Line 3: | ||
'''Note:''' The credible interval is the Bayesian equivalent of a confidence interval, but the interpretation of it is slightly different: the probability that a parameter is in an X% credible interval is X/100. For example, a 95% credible interval (0.82-1.36) for an odds ratio for mortality means that there is a 0.95 probability that the [[Odds ratio (OR)|odds ratio]] in the population is between 0.82 and 1.36. | '''Note:''' The credible interval is the Bayesian equivalent of a confidence interval, but the interpretation of it is slightly different: the probability that a parameter is in an X% credible interval is X/100. For example, a 95% credible interval (0.82-1.36) for an odds ratio for mortality means that there is a 0.95 probability that the [[Odds ratio (OR)|odds ratio]] in the population is between 0.82 and 1.36. | ||
== References == | |||
http://htaglossary.net/credible-interval | |||
Latest revision as of 12:56, 21 November 2023
A range of values around the central estimate of a parameter, constructed using Bayesian methods.
Note: The credible interval is the Bayesian equivalent of a confidence interval, but the interpretation of it is slightly different: the probability that a parameter is in an X% credible interval is X/100. For example, a 95% credible interval (0.82-1.36) for an odds ratio for mortality means that there is a 0.95 probability that the odds ratio in the population is between 0.82 and 1.36.