12 citations · 61 across the 32 of their papers we have counts for
4 papers · 2 filters
Randomization Tests for Weak Null Hypotheses in Randomized Experiments
Jason Wu, Peng Ding
The Fisher randomization test (FRT) is appropriate for any test statistic, under a sharp null hypothesis that can recover all missing potential outcomes. However, it is often sough…
Randomization Inference for Peer Effects
Xinran Li, Peng Ding, Qian Lin +2
Many previous causal inference studies require no interference, that is, the potential outcomes of a unit do not depend on the treatments of other units. However, this no-interfere…
Causal Inference: A Missing Data Perspective
Peng Ding, Fan Li
Inferring causal effects of treatments is a central goal in many disciplines. The potential outcomes framework is a main statistical approach to causal inference, in which a causal…
Combining multiple observational data sources to estimate causal effects
Shu Yang, Peng Ding
The era of big data has witnessed an increasing availability of multiple data sources for statistical analyses. We consider estimation of causal effects combining big main data wit…