1. Covariate Ordered Systematic Sampling as an Improvement to Randomized Controlled Trials
- Author
-
Jobson, Deddy, Yilin, Li, Nishimura, Naoki, Jie, Yang, Ohashi, Koya, and Matsumoto, Takeshi
- Subjects
Statistics - Methodology ,Statistics - Applications - Abstract
The Randomized Controlled Trial (RCT) or A/B testing is considered the gold standard method for estimating causal effects. Fisher famously advocated randomly allocating experiment units into treatment and control groups to preclude systematic biases. We propose a variant of systematic sampling called Covariate Ordered Systematic Sampling (COSS). In COSS, we order experimental units using a pre-experiment covariate and allocate them alternately into treatment and control groups. Using theoretical proofs, experiments on simulated data, and hundreds of A/B tests conducted within 3 real-world marketing campaigns, we show how our method achieves better sensitivity gains than commonly used variance reduction techniques like CUPED while retaining the simplicity of RCTs.
- Published
- 2024