3 papers
stat.ME2020
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…
stat.ME2018
Large-Scale Model Selection with Misspecification
Emre Demirkaya, Yang Feng, Pallavi Basu +1
Model selection is crucial to high-dimensional learning and inference for contemporary big data applications in pinpointing the best set of covariates among a sequence of candidate…
stat.AP2017
Optimal design for high-throughput screening via false discovery rate control
Tao Feng, Pallavi Basu, Wenguang Sun +2
High-throughput screening (HTS) is a large-scale hierarchical process in which a large number of chemicals are tested in multiple stages. Conventional statistical analyses of HTS s…