• Corpus ID: 237513551

Proximal Causal Inference for Complex Longitudinal Studies

  title={Proximal Causal Inference for Complex Longitudinal Studies},
  author={Andrew Ying and Wang Miao and Xu Shi and Eric J. Tchetgen Tchetgen},
A standard assumption for causal inference about the joint effects of timevarying treatment is that one has measured sufficient covariates to ensure that within covariate strata, subjects are exchangeable across observed treatment values, also known as “sequential randomization assumption (SRA)”. SRA is often criticized as it requires one to accurately measure all confounders. Realistically, measured covariates can rarely capture all confounders with certainty. Often covariate measurements are… 

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