Hi Guys: I am new to teffects in STATA and am trying to get a causal estimate for survival (Average treatment effect) in patients who had an early brain catheterization compared to those who didn't.
I understand how to enter the model into stata but I don't understand what the coefficient means.
Here is the teffects code: Surv is the outcome var. early_cath is the treatment and the rest are the variables for the propensity score. teffects psmatch (surv) (early_cath age male smoker __epi trop_1 bls cabg_h cad chf cva cxr diabetes htn inc_chol lbbb pcac std vf_vt new_where), nneighbor(1
The output from stata is:
teffects psmatch (surv) (early_cath age male smoker __epi trop_1 bls cabg_h cad chf cva cxr d
> iabetes htn inc_chol lbbb pcac std vf_vt new_where), nneighbor(1) control(0)
Treatment-effects estimation Number of obs = 426
Estimator : propensity-score matching Matches: requested = 1
Outcome model : matching min = 1
Treatment model: logit max = 1
------------------------------------------------------------------------------
| AI Robust
surv | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
ATE |
early_cath |
(1 vs 0) | -.0821596 .0371013 -2.21 0.027 -.1548768 -.0094425
------------------------------------------------------------------------------
Can anyone tell me what a coefficient of -.0821596 means when my outcome variable is (0,1)???
Thanks guys.
Francis
I understand how to enter the model into stata but I don't understand what the coefficient means.
Here is the teffects code: Surv is the outcome var. early_cath is the treatment and the rest are the variables for the propensity score. teffects psmatch (surv) (early_cath age male smoker __epi trop_1 bls cabg_h cad chf cva cxr diabetes htn inc_chol lbbb pcac std vf_vt new_where), nneighbor(1
The output from stata is:
teffects psmatch (surv) (early_cath age male smoker __epi trop_1 bls cabg_h cad chf cva cxr d
> iabetes htn inc_chol lbbb pcac std vf_vt new_where), nneighbor(1) control(0)
Treatment-effects estimation Number of obs = 426
Estimator : propensity-score matching Matches: requested = 1
Outcome model : matching min = 1
Treatment model: logit max = 1
------------------------------------------------------------------------------
| AI Robust
surv | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
ATE |
early_cath |
(1 vs 0) | -.0821596 .0371013 -2.21 0.027 -.1548768 -.0094425
------------------------------------------------------------------------------
Can anyone tell me what a coefficient of -.0821596 means when my outcome variable is (0,1)???
Thanks guys.
Francis
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