I am comparing the effect treatment vs no treatment on health outcome in my retrospective longitudinal study. As subjects were probably not randomly allocated to the treatment group, I am using propensity score matching to asses treatment effect.

I have managed to get the ATE in Stata but I would like to build a table of descriptive variables (e.g age, height, weight, blood pressure etc) to compare the treated vs non-treated groups after PSM matching. Can anyone please help/advise how can I do this in Stata