Hello,
Could you help me to interpret results of analysis of propensity score matching for binary outcome in Stata?
. teffects psmatch (PCR01) (Group01 sex), atet
Treatment-effects estimation Number of obs = 428
Estimator : propensity-score matching Matches: requested = 1
Outcome model : matching min = 50
Treatment model: logit max = 164
AI Robust
PCR01 Coef. Std. Err. z P>z [95% Conf. Interval]
ATET
Group01
(1 vs 0) -.0523729 .0242535 -2.16 0.031 -.0999089 -.004837
Where PCR01 - binary outcome (01), Group01 - binary treatment/or not (01), sex binary independent (0 female, 1 male).
What is Coef. in this output means?
What I should do also to check the propensity-score matching?
Thank you for help!
Could you help me to interpret results of analysis of propensity score matching for binary outcome in Stata?
. teffects psmatch (PCR01) (Group01 sex), atet
Treatment-effects estimation Number of obs = 428
Estimator : propensity-score matching Matches: requested = 1
Outcome model : matching min = 50
Treatment model: logit max = 164
AI Robust
PCR01 Coef. Std. Err. z P>z [95% Conf. Interval]
ATET
Group01
(1 vs 0) -.0523729 .0242535 -2.16 0.031 -.0999089 -.004837
Where PCR01 - binary outcome (01), Group01 - binary treatment/or not (01), sex binary independent (0 female, 1 male).
What is Coef. in this output means?
What I should do also to check the propensity-score matching?
Thank you for help!
