Abstract A standard assumption for causal inference about the joint effects of time-varying treatment is that one has measured sufficient covariates to ensure within covariate strata, subjects are exchangeable across observed values, also known as ‘sequential randomization (SRA)’. SRA often criticized it requires accurately measure all confounders. Realistically, can rarely capture confounders ...
