Confidence Interval

Confidence Interval

Confidence Interval

A confidence interval gives a range around a point estimate within which the true value plausibly falls, conventionally at ninety-five percent confidence. A narrow interval indicates precision while a wide interval indicates uncertainty.

An interval including one indicates no statistically significant association.

Alternative Names:

CI, 95% Confidence Interval

Why it Matters?

Whether the interval crosses one is the practical test in causation litigation, since an interval spanning one includes the possibility of no association at all. An expert citing a relative risk of two point one with a confidence interval from zero point eight to five point four is reporting an estimate consistent with no effect. Reading the interval rather than the point estimate is the necessary discipline in evaluating epidemiological testimony.

Frequently asked questions

What does an interval including one indicate?

What does an interval including one indicate?

That the data are consistent with no association, which means the point estimate does not establish a statistically significant effect.

Why read the interval rather than the estimate?

Why read the interval rather than the estimate?

Because a large point estimate with a wide interval crossing one reflects imprecise data rather than a strong association.