What Do Wide and Narrow Confidence Intervals Indicate?
A wide confidence interval indicates a high level of uncertainty about the estimate. This could be due to a small sample size, high variability in the data, or both. On the other hand, a narrow confidence interval suggests that the estimate is more precise. In epidemiological studies, narrow CIs are generally preferred as they provide more reliable information for decision-making.