Optional add-on module for alternative sample size methods
nQuery Bayes is an optional add-on module that can be added to your nQuery Advanced subscription. This add-on module provides an introduction to the wide breadth of sample size methods which are informed by Bayesian methods and thinking.
Bayesian analysis methods continue to make a growing contribution both in academic research and clinical trials. This has helped transform our ideas about statistical inference and methodology in the process.
In nQuery Bayes, we look at two areas where Bayesian sample size determination has shown growing interest:
The Posterior Credible Interval approach is a series of tools which allow a researcher to select an appropriate sample size based on a desired length of posterior interval for a generic parameter using criteria such as the Average Coverage Criterion (ACC), Average Length Criterion (ALC) and Worst Outcome Criterion (WOC).
Assurance, also known as Bayesian Power, is an alternative approach to considering the uncertainty in planning parameters to traditional ad-hoc sensitivity analysis. This approach provides a useful complement to traditional power and is used to calculate the true "probability of success" of a trial.
nQuery Bayes offers the ability to integrate domain knowledge and prior study data for more efficient and accurate testing
- Ronan Fitzpatrick, Head Of Statistics, Statsols