12 papers · 1 filter
Group Sequential Design with Posterior and Posterior Predictive Probabilities
Luke Hagar, Shirin Golchi, Marina B. Klein
Group sequential designs drive innovation in clinical, industrial, and corporate settings. Early stopping for failure in sequential designs conserves experimental resources, wherea…
Economical Experimental Design with Generalized Posteriors
Luke Hagar, James M. McGree
The hybrid approach to experimental design aims to control frequentist operating characteristics of Bayesian decision procedures. These operating characteristics are assessed by si…
An Efficient Framework for Robust Sample Size Determination
Luke Hagar, Andrew J. Martin
In many settings, robust data analysis involves computational methods for uncertainty quantification and statistical inference. To design frequentist studies that leverage robust a…
Design of Bayesian Clinical Trials with Clustered Data
Luke Hagar, Shirin Golchi
In the design of clinical trials, it is essential to assess the design operating characteristics (e.g., power and the type I error rate). Common practice for the evaluation of oper…
An Economical Approach to Design with Precision Criteria
Luke Hagar, Nathaniel T. Stevens
Estimation frameworks for statistical inference are preferred to hypothesis testing when quantifying uncertainty and precise estimation are more valuable than binary decisions abou…
Design of Bayesian A/B Tests Controlling False Discovery Rates and Power
Luke Hagar, Nathaniel T. Stevens
Businesses frequently run online controlled experiments (i.e., A/B tests) to learn about the effect of an intervention on multiple business metrics. To account for multiple hypothe…