I've constructed a Cox PH model using multiple imputed datasets in SAS. Now I would like to estimate adjusted survival curves for each treatment group (main variable in the model). Is there a principled way of combining adjusted survival curves estimated from each imputation? Can I just estimate the probabilities from each imputation and then combine them later using PROC MIANALYZE?
*Edit: I've sort of rigged the pooling of multiple imputations so that the
modeleffects argument in PROC MIANALYZE is the estimated survival probability for group A or B at a single timepoint. I have several of these "effects" based on the number of timepoints. The
stderr argument in PROC MIANALYZE is the associated standard error. My concern is if doing it this way still leads to valid inferences.