36 citations · 105 across the 17 of their papers we have counts for
4 papers · 1 filter
Semiparametric proximal causal inference
Yifan Cui, Hongming Pu, Xu Shi +2
Skepticism about the assumption of no unmeasured confounding, also known as exchangeability, is often warranted in making causal inferences from observational data; because exchang…
Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework
Guanghao Zhang, Lauren J. Beesley, Bhramar Mukherjee +1
Electronic health records (EHRs) are increasingly recognized as a cost-effective resource for patient recruitment in clinical research. However, how to optimally select a cohort fr…
An Introduction to Proximal Causal Learning
Eric J Tchetgen Tchetgen, Andrew Ying, Yifan Cui +2
A standard assumption for causal inference from observational data is that one has measured a sufficiently rich set of covariates to ensure that within covariate strata, subjects a…
A Selective Review of Negative Control Methods in Epidemiology
Xu Shi, Wang Miao, Eric Tchetgen Tchetgen
Purpose of Review: Negative controls are a powerful tool to detect and adjust for bias in epidemiological research. This paper introduces negative controls to a broader audience an…