Statistical power and categorical outcomes
Categorical outcomes decrease statistical power and increase the needed sample size
Less powerful non-parametric statistics are used with categorical outcomes. Less precision and accuracy of treatment effects is yielded from non-parametric statistics as well.
Categorical outcomes are very prevalent in medicine, so researchers should plan to either measure for large effect sizes or collect larger sample sizes to achieve adequate statistical power.
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