Reduce Risk & Cost of Clinical Trials

 nQuery Bayes: Integrate Bayesian Analysis into your sample size calculations

nQuery Customer Collection Logo.jpg

What is the true probability of success of my clinical trial?

Use Bayesian Assurance to find the 'True Probability of Success' of your trial

  • Using assurance also known as Bayesian Power, you can integrate prior uncertainty about the effect size or other parameters to gain a more complete understanding of your sample size estimate and trial design. 

  • These priors can be elicited and then integrated into frameworks such as the Sheffield Elicitation Framework (SHELF).

  • Through the elicitation process all relevant data is summarized, reviewed and implicitly weighted. This provides a greater understanding allowing steps to be taken to mitigate problems to reduce the risk and cost of clinical trials.

Integrate prior information, real world data and expert opinions

  • Bayesian statistics provides formal statistical methods for using prior information to study current information more efficiently when designing a trial, monitoring a trial or analysing a trial's results

  • nQuery Bayes provides researchers access to a suite of tools that allows them to formalize the use of Bayesian methodology into their clinical trial framework using:
     • Bayesian Assurance
     • Bayesian Posterior Credibility Intervals
     • Mixed Bayesian Likelihood

Bayesian Sample Size To Complement Frequentist Design

See exactly how our sample size and power analysis software can help you

 

What's Covered?

  • Hosted by Head of Statistics and nQuery Lead Researcher - Ronan Fitzpatrick

  • How nQuery enables biostatisticians to quickly and confidently overcome sample size determination challenges and reach the appropriate sample size

What's Next?

  • Click 'Watch Now' to view a recorded demo of nQuery right now

  • Or contact us for any questions you have

GET A DEMO

Demo icon 4.png

Watch on demand now
nQuery In Use Background Web  Opacity 35.png