1 citations · 1 across the 10 of their papers we have counts for
10 papers
Randomization tests for model specification in causal inference under network interference
Supriya Tiwari, Pallavi Basu
Analysis of experimental data becomes challenging when the underlying population is connected by a network. Exposure mapping is a common tool in the literature for defining and est…
Ranking by Lifts: A Cost-Benefit Approach to Large-Scale A/B Tests
Pallavi Basu, Ron Berman
A/B testing is a core tool for decision-making in business experimentation, particularly in digital platforms and marketplaces. Practitioners often prioritize lift in performance m…
Quasi-randomization tests for network interference: a random graph approach
Supriya Tiwari, Pallavi Basu
Network interference occurs when the treatment status of one unit affects the potential outcomes of other units, giving rise to spillover effects that are difficult to test for. We…
Exact confidence intervals for the mixing distribution from binomial mixture distribution samples
Pallavi Basu, Barak Brill, Daniel Yekutieli
We present methodology for constructing pointwise confidence intervals for the cumulative distribution function and the quantiles of mixing distributions on the unit interval from…
An Empirical Bayes Approach to Controlling the False Discovery Exceedance
Pallavi Basu, Luella Fu, Alessio Saretto +1
In large-scale multiple hypothesis testing problems, the false discovery exceedance (FDX) provides a desirable alternative to the widely used false discovery rate (FDR) when the fa…
Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias
Pallavi Basu, Dylan S. Small
Difference-in-differences analysis with a control group that differs considerably from a treated group is vulnerable to bias from historical events that have different effects on t…