Health Questions and Answers

How do I interpret confidence intervals?

A confidence interval is the expected range of results in the study population. A 95% confidence interval means that you would expect 95% of your results to fall within the specified range. A smaller range of values or less variance usually is found with larger sample sizes. A wide confidence interval could mean that some of the study results may not be clinically significant. Look at the upper and lower boundaries of the confidence interval and determine if both values still would hold clinical significance for you. If only the upper boundary value would have significance, there may not be an overall clinical benefit.

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