A better and increasingly common approach is to report confidence intervals.

Any relative risk with a confidence interval that does not include a value of 1 could be considered significant.

From the same data one may calculate a 95% confidence interval, which in this case might be 36% to 44%.

The confidence intervals can be estimated for any chosen range.

The figure shows this estimated number of visits with 95% confidence intervals.

The confidence intervals increase as the observed number of cases decreases.

Their estimates have very wide 95% confidence intervals from 6,700 deaths to 38,000.

One approach is to estimate a confidence interval of the risk measurement.

For example, a confidence interval can be used to describe how reliable survey results are.

Assume that the distribution is normal and let the confidence interval be 95%.