Hi !
I actually worked on a very large healthcare dataset and I investigated the association between hypertension and cardiovascular mortality. I calculated a high-dimensional propensity score (hd-PS) for every subject in my dataset. This hd-PS represents the predicted probability of having hypertension versus no hypertension, conditional on all covariates in the dataset. Then I grouped my patients into hd-PS based deciles and used logistic regression to estimate the risk of cardiovascular mortality.
This is the reference of the main paper on hd-PS.
High-dimensional propensity score adjustment in studies of
treatment effects using health care claims data
Sebastian Schneeweiss, Jeremy A. Rassen, Robert J. Glynn, Jerry Avorn, Helen Mogun,
and M. Alan Brookhart
One of the reviewers asks: if the computation of this score involves estimates that may be biased in any way, discuss this putative bias. I don't really know what is expected here... any idea?
Thank you,
Best,
PM