Editing Power (statistics) (section)

== Extension ==
=== Bayesian power ===
In the [[frequentist]] setting, parameters are assumed to have a specific value which is unlikely to be true. This issue can be addressed by assuming the parameter has a distribution. The resulting power is sometimes referred to as Bayesian power which is commonly used in [[clinical trial]] design.

=== Predictive probability of success ===
Both [[frequentist]] power and Bayesian power use statistical significance as the success criterion. However, statistical significance is often not enough to define success. To address this issue, the power concept can be extended to the concept of [[predictive probability of success]] (PPOS). The success criterion for PPOS is not restricted to statistical significance and is commonly used in [[clinical trial]] designs.