Confidence interval (CI): Difference between revisions
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'''Note:''' The confidence interval is the area of uncertainty for the estimating of a parameter. The use of this interval reflects the fact that a study provides one estimate of a parameter, out of the many estimates that would be possible if the study were repeated several times. If an X% CI is constructed for each repetition, X% of the intervals will contain the true value of the parameter. Investigators typically use confidence intervals of 90%, 95% or 99%. Thus, a 95% confidence interval indicates that there is a 95% probability that the confidence interval calculated from a particular study includes the true value of the parameter. If the interval includes a null value (a difference in means of 0, an [[Odds ratio (OR)|odds ratio]] or a [[Relative risk (RR)|relative risk]] of 1, or a [[correlation coefficient]] of 0, for example), the [[null hypothesis]] cannot be rejected. A narrow confidence interval around a point estimate indicates a more precise estimate than a wide confidence interval. | '''Note:''' The confidence interval is the area of uncertainty for the estimating of a parameter. The use of this interval reflects the fact that a study provides one estimate of a parameter, out of the many estimates that would be possible if the study were repeated several times. If an X% CI is constructed for each repetition, X% of the intervals will contain the true value of the parameter. Investigators typically use confidence intervals of 90%, 95% or 99%. Thus, a 95% confidence interval indicates that there is a 95% probability that the confidence interval calculated from a particular study includes the true value of the parameter. If the interval includes a null value (a difference in means of 0, an [[Odds ratio (OR)|odds ratio]] or a [[Relative risk (RR)|relative risk]] of 1, or a [[correlation coefficient]] of 0, for example), the [[null hypothesis]] cannot be rejected. A narrow confidence interval around a point estimate indicates a more precise estimate than a wide confidence interval. | ||
== Reference == | |||
http://htaglossary.net/confidence-interval-(CI) | |||
Latest revision as of 12:25, 9 November 2023
A range of values below and above the point estimate that has a given probability of including the true value of a given parameter, such as a treatment effect.
Note: The confidence interval is the area of uncertainty for the estimating of a parameter. The use of this interval reflects the fact that a study provides one estimate of a parameter, out of the many estimates that would be possible if the study were repeated several times. If an X% CI is constructed for each repetition, X% of the intervals will contain the true value of the parameter. Investigators typically use confidence intervals of 90%, 95% or 99%. Thus, a 95% confidence interval indicates that there is a 95% probability that the confidence interval calculated from a particular study includes the true value of the parameter. If the interval includes a null value (a difference in means of 0, an odds ratio or a relative risk of 1, or a correlation coefficient of 0, for example), the null hypothesis cannot be rejected. A narrow confidence interval around a point estimate indicates a more precise estimate than a wide confidence interval.