28 citations · 57 across the 4 of their papers we have counts for
4 papers
Adaptive Combination of Randomized and Observational Data
David Cheng, Tianxi Cai
Data from both a randomized trial and an observational study are sometimes simultaneously available for evaluating the effect of an intervention. The randomized data typically allo…
The Statistical Performance of Matching-Adjusted Indirect Comparisons
David Cheng, Rajeev Ayyagari, James Signorovitch
Indirect comparisons of treatment-specific outcomes across separate studies often inform decision-making in the absence of head-to-head randomized comparisons. Differences in basel…
Robust and Efficient Semi-Supervised Estimation of Average Treatment Effects with Application to Electronic Health Records Data
David Cheng, Ashwin Ananthakrishnan, Tianxi Cai
We consider the problem of estimating the average treatment effect (ATE) in a semi-supervised learning setting, where a very small proportion of the entire set of observations are…
Estimating Average Treatment Effects with a Double-Index Propensity Score
David Cheng, Abhishek Chakrabortty, Ashwin N. Ananthakrishnan +1
We consider estimating average treatment effects (ATE) of a binary treatment in observational data when data-driven variable selection is needed to select relevant covariates from…