1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2023★ 1 cited
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
Shenbo Xu, Bang Zheng, Bowen Su +5
In empirical studies with time-to-event outcomes, investigators often leverage observational data to conduct causal inference on the effect of exposure when randomized controlled t…
math.ST2022★ 1 cited
Bias Formulas for Violations of Proximal Identification Assumptions
Raluca Cobzaru, Roy Welsch, Stan Finkelstein +2
Causal inference from observational data often rests on the unverifiable assumption of no unmeasured confounding. Recently, Tchetgen Tchetgen and colleagues have introduced proxima…