kkranker / psweight Goto Github PK

Should be easy to add: https://doi.org/10.1080/01621459.2016.1260466

Add a noconstant option.

predict command to re-generate predicted values or apply them out-of-sample. Maybe stop generating new variables by default.

[someone] asks,

... Unfortunately, I am unable to recover the standard errors, nor the test statistic to enable me tell the significance of the estimated Propensity score model coefficients. On with my web search again, I came across your GITHUB page (https://github.com/kkranker/psweight) where you indicated some potential improvements and extensions.

I am by this letter (email) writing to ask if this has been made possible and if so, is there a way I can at least retrieve the standard errors to match the displayed coefficients of the covariates estimated from the propensity score model?....

Once we have standard errors (#1), add impact estimation (single- or multi-outcomes) and/or regression adjusted means ("pomeans" in Stata's teffects lingo) inside optimization.

Dear Keith,

what a fantastic Stata package. It helps me with my research a lot.

One question I struggle with:
How can I export the balance table produced by psweight call balanceresults() into TeX or excel?

Thanks so much in any case in advance.

Best wishes,
Daniel