SA_MI_PMM-regimemeans
Sensitivity Analysis plots
Method 1: Add sensitivity params to MI predictive mean matching imputations
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable
Method 2: Add sensitivity params to Bayesian posterior means
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable
Method 3: Add sensitivity params to PANS imputations
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable
Sensitivity Analysis plots
Method 1: Add sensitivity params to MI predictive mean matching imputations
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable
Method 2: Add sensitivity params to Bayesian posterior means
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable
Method 3: Add sensitivity params to PANS imputations
I hard coded the function here.
SA1 - MNAR outcomes
SA2 - MNAR outcomes and MNAR tailoring variable