4 papers
A Unified Framework for Rerandomization using Quadratic Forms
Kyle Schindl, Zach Branson
When designing a randomized experiment, one way to ensure treatment and control groups exhibit similar covariate distributions is to randomize treatment until some prespecified lev…
Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice
Antônio Carlos Herling Ribeiro Junior, Zach Branson
Rerandomization is a modern experimental design technique that repeatedly randomizes treatment assignments until covariates are deemed balanced between treatment groups. This enhan…
Calibrated sensitivity models
Alec McClean, Zach Branson, Edward H. Kennedy
In causal inference, sensitivity models assess how unmeasured confounders could alter causal analyses, but the sensitivity parameter -- which quantifies the degree of unmeasured co…
The Landscape of College-level Data Visualization Courses, and the Benefits of Incorporating Statistical Thinking
Zach Branson, Monica Paz Parra, Ronald Yurko
Data visualization is a core part of statistical practice and is ubiquitous in many fields. Although there are numerous books on data visualization, instructors in statistics and d…