18 citations · 64 across the 12 of their papers we have counts for
12 papers
Hierarchical Clustering As a Novel Solution to the Notorious Multicollinearity Problem in Observational Causal Inference
Yufei Wu, Zhiying Gu, Alex Deng +2
Multicollinearity is a long lasting challenge in observational causal inference, especially in regressions -- highly correlated independent variables make it hard to isolate their…
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
Nicholas Larsen, Jonathan Stallrich, Srijan Sengupta +3
The rise of internet-based services and products in the late 1990's brought about an unprecedented opportunity for online businesses to engage in large scale data-driven decision m…
Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement
Alex Deng, Michelle Du, Anna Matlin
Online experimentation platforms collect user feedback at low cost and large scale. Some systems even support real-time or near real-time data processing, and can update metrics an…
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering
Alex Deng, Lo-Hua Yuan, Naoya Kanai +1
In online experiments where the intervention is only exposed, or "triggered", for a small subset of the population, it is critical to use variance reduction techniques to estimate…
The equivalence of the Delta method and the cluster-robust variance estimator for the analysis of clustered randomized experiments
Alex Deng, Jiannan Lu, Wen Qin
It often happens that the same problem presents itself to different communities and the solutions proposed or adopted by those communities are different. We take the case of the va…
On Post-Selection Inference in A/B Tests
Alex Deng, Yicheng Li, Jiannan Lu +1
When interpreting A/B tests, we typically focus only on the statistically significant results and take them by face value. This practice, termed post-selection inference in the sta…