Nature

Evaluating the performance of Bayesian and frequentist approaches for longitudinal modeling: application to Alzheimer’s disease

Linear mixed effects (LME) modelling under both frequentist and Bayesian frameworks can be used to study longitudinal trajectories. We studied the performance of both frameworks on different dataset ...
Nature

Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach

The objective of this work was to use the Bayesian approach, modeling the interaction of coffee genotypes with the environment, using a bisegmented regression to identify stable and adapted genotypes.
JD Supra

Frequentist or Bayesian? All Roads Lead to Smarter Trials with FDA’s New Bayesian Guidance

Jessica Ritsick, Yifan Wang, Ph.D. Our FDA: Drug & Device Team analyzes the Food and Drug Administration’s new guidance on Bayesian approaches to innovative drug trials, providing greater clarity on ...