4 citations · 7 across the 12 of their papers we have counts for
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math.ST2017
Instrumental variables as bias amplifiers with general outcome and confounding
Peng Ding, Tyler VanderWeele, James Robins
Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outc…
math.ST2016
General forms of finite population central limit theorems with applications to causal inference
Xinran Li, Peng Ding
Frequentists' inference often delivers point estimators associated with confidence intervals or sets for parameters of interest. Constructing the confidence intervals or sets requi…