Why confidence intervals are more useful than p-values

Both p-values and confidence intervals are uncertainty measures, but while the confidence interval describes estimation uncertainty, the p-value reflects the probability of the data given that a specific null hypothesis is true. The confidence interval facilitates the clinical interpretation of an estimate by specifying a range of plausible effect sizes. Whether or not a p-value is meaningful depends on the relevance of the null hypothesis, which usually isn’t specifically defined or understood by the investigator.