Alternatives to Power

Power is the most common metric used for sample size determination. However, the calculated sample size will only achieve the target level of Power if the assumed effect size and other assumptions are proven to be correct. In this tutorial, we have explored alternatives to Power for the purposes of sample size determination. We review some available alternatives to Power and highlighted methods available in the areas of Interval Estimation and Bayesian designs. You will learn about:  - Alternatives to Power for sample size determination - How to use Interval Estimation methods for SSD - How to use Bayesian Methods for SSD - Hybrid Bayesian/Frequentist methods - Fully Bayesian Methods  What are alternative methods to Power for sample size determination? Traditionally, the number of subjects required for a study is calculated in order for a certain target level of power to be achieved. However, as the calculation of the Power is dependant on the assumed effect size and other parameters and assumptions, deviations in these parameters and assumptions can result in underpowered or overpowered studies. Some of the most common alternatives to Power include Interval Estimation, pure Bayesian approaches, and hybrid Bayesian approaches. Interval estimation is a widely understood method however is less commonly used for sample size determination. Some popular Bayesian methods for sample size determination would be the credible Intervals, bayes factors, CRM, MBL intervals, posterior errors, and Bayesian Assurance.  Each of these alternative methods has various characteristics which make them appealing for sample size determination. Watch this video guide as we review a selection of these methods and highlighted some of their advantages and disadvantages. We have also demonstrated worked examples of sample size determination for these methods. Duration - 60 minutes Speaker: Brian Fox, Research Statistician, nQuery *************************************************************** For a free 14 day trial of nQuery: https://www.statsols.com/nquery-demo For more examples: https://www.statsols.com/hypothesis-testing-example ***************************************************************