![]() ![]() ![]() To calculate an adequate sample size for a future or planned trial, please visit the sample size calculator. 2 Because post-hoc analyses are typically only calculated on negative trials (p ≥ 0.05), such an analysis will produce a low post-hoc power result, which may be misinterpreted as the trial having inadequate power.Īs an alternative to post-hoc power, analysis of the width and magnitude of the 95% confidence interval (95% CI) may be a more appropriate method of determining statistical power. Post-hoc power analysis has been criticized as a means of interpreting negative study results. Q: Which of the following is the test statistic calculated when performing the related hypothesis test. ![]() Just like sample size calculation, statistical power is based on the baseline incidence of an outcome, the population variance, the treatment effect size, alpha, and the sample size of a study. This false conclusion is called a type II error. If a trial has inadequate power, it may not be able to detect a difference even though a difference truly exists. "Power" is the ability of a trial to detect a difference between two different groups. This calculator uses a variety of equations to calculate the statistical power of a study after the study has been conducted. ![]()
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