1 citations · 1 across the 2 of their papers we have counts for
3 papers
Sensitivity analysis methods for outcome missingness using substantive-model-compatible multiple imputation and their application in causal inference
Jiaxin Zhang, S. Ghazaleh Dashti, John B. Carlin +3
When using multiple imputation (MI) for missing data, maintaining compatibility between the imputation model and substantive analysis is important for avoiding bias. For example, s…
Handling multivariable missing data in causal mediation analysis estimating interventional effects
S. Ghazaleh Dashti, Katherine J. Lee, Julie A. Simpson +2
The interventional effects approach to causal mediation analysis is increasingly common in epidemiologic research, given its potential to address policy-relevant questions about hy…
Recoverability and estimation of causal effects under typical multivariable missingness mechanisms
Jiaxin Zhang, S. Ghazaleh Dashti, John B. Carlin +2
In the context of missing data, the identifiability or "recoverability" of the average causal effect (ACE) depends on causal and missingness assumptions. The latter can be depicted…