Mathematics
3 years ago

Revolutionizing drug trials with new Bayesian monitoring priors for efficacy

1 view
Pharmaceutical Statistics
The use of local and nonlocal priors in Bayesian test‐based monitoring for single‐arm phase <scp>II</scp> clinical trials
Yanhong Zhou, Ruitao Lin, J. Jack Lee

Paper Summary

The article explores how to monitor the effectiveness of new drugs in clinical trials using a method called Bayesian sequential monitoring. Researchers compared different types of priors to see which ones work best for this monitoring process. They found that the choice of priors can affect how well the monitoring procedure works. The study also created a user-friendly tool to help implement this monitoring design.

Related papers

Psychology
3 years ago

New testing methods revolutionize decision-making in psychological research!

Network Analysis
Behavior Change
Theme background image
Mathematics
3 years ago

Embracing uncertainty in Bayes factors leads to more informed decisions.

Missing Data
Bayesian Networks
Multicollinearity
1 view
Theme background image
Computer Science
5 years ago

Revolutionizing sensor networks: Optimal detection with limited memory storage!

Decentralized Inference
Statistical Control
Particle Filtering