teffects psmatch (outcome, poisson) (exposure confounders), atet If I try to add different outcome variable types into my code directly: I am confused by this because there is both an option for different outcome types (using propensity score matching) under 'Statistics -> Treatment Effects' and the help-file itself also discusses different types of ' ovar' (outcome variables). Same with 'augmented IPW.' I don't want to use IPW-RA or augmented IPW, but I am just illustrating what is available through these menus versus what is (un)available under propensity score matching. I don't want to change the treatment model (where there are indeed options to change it) - but I want to change the outcome model.įor example, if you click 'IPW-RA' - you can select various outcome models from a menu. there are no options to change the outcome model.

Statistics -> Treatment Effects -> Outcome type (continuous, binary, count, etc.) -> Propensity score matching. You can even access teffects psmatch by clicking:

Ovar is a binary, count, continuous, fractional, or nonnegative outcome of interest.'įurthermore, the help-file indicates: ' teffects psmatch accepts a continuous, binary, count, fractional, or nonnegative outcome.' Teffects psmatch (ovar) (tvar tmvarlist ) According to the teffects psmatch - Propensity-score matching help-file:

Stata 14.0 command