2 citations · 5 across the 14 of their papers we have counts for
6 papers · 1 filter
From Augmentation to Decomposition: A New Look at CUPED in 2023
Alex Deng, Luke Hagar, Nathaniel Stevens +3
Ten years ago, CUPED (Controlled Experiments Utilizing Pre-Experiment Data) mainstreamed the idea of variance reduction leveraging pre-experiment covariates. Since its introduction…
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…
Posterior Ramifications of Prior Dependence Structures
Luke Hagar, Nathaniel T. Stevens
Prior elicitation methods for Bayesian analyses transfigure prior information into quantifiable prior distributions. Recently, methods that leverage copulas have been proposed to a…
Bioequivalence Design with Sampling Distribution Segments
Luke Hagar, Nathaniel T. Stevens
In bioequivalence design, power analyses dictate how much data must be collected to detect the absence of clinically important effects. Power is computed as a tail probability in t…
Fast Power Curve Approximation for Posterior Analyses
Luke Hagar, Nathaniel T. Stevens
Bayesian hypothesis tests leverage posterior probabilities, Bayes factors, or credible intervals to inform data-driven decision making. We propose a framework for power curve appro…
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…