A comparison of methods to estimate the survivor average causal effect in the presence of missing data: a simulation study.
Myra B McGuinessJessica KaszaAmalia KarahaliosRobyn H GuymerRobert P FingerJulie A SimpsonPublished in: BMC medical research methodology (2019)
On average, MSMs with weighting for exposure, missing data and survival produced biased estimates of the SACE in the presence of an unmeasured survival-outcome confounder. The direction and magnitude of effect of unmeasured survival-outcome confounders should be considered when assessing exposure-outcome associations in the presence of attrition due to death.