In the propensity score matching process there were 29 variables controlled for. The variables included criminal history, socio-demographic and incarceration characteristics of the prisoner.
In this paper we evaluated the effectiveness of a prigram running within prison walls for five years.
Thanks a lot
It really helps
I will ran the analysis one time only with the main and interaction effects and with all the variables and will see I something change.
My sample size is1094 - 547 treatment and 547 control group.
The cox regression assumptions are met.
Because this is a new paper...
One more question please.
I read few of the articles regarding the Aipw.
I used In my previous paper the psmatch2 command - can I still assume that it is fine to control for few of the variables again - for robustness?
I am new at this forum. I thank you all in advance for your kind help.
I ran a propensity score matching in order to evaluate a rehabilitation program.
We published this paper due to a siginificant finding that showed that the program is effective in reducing recidivism rates.