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%.
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