. cate aipw (fev1p \$catecovars) (transtype), rseed(12345671)      ///
>         controls(\$controls) nolog 
{\smallskip}
Conditional average treatment effects       Number of observations       = 937
Estimator:       Augmented IPW              Number of folds in cross-fit =  10
Outcome model:   Linear lasso               Number of outcome controls   = 454
Treatment model: Logit lasso                Number of treatment controls = 454
CATE model:      Random forest              Number of CATE variables     =  46
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
             {\VBAR}               Robust
       fev1p {\VBAR} Coefficient  std. err.      z    P>|z|     [95\% conf. interval]
\HLI{13}{\PLUS}\HLI{64}
ATE          {\VBAR}
   transtype {\VBAR}
       (BLT  {\VBAR}
         vs  {\VBAR}
       SLT)  {\VBAR}    37.5243   .1646795   227.86   0.000     37.20153    37.84707
\HLI{13}{\PLUS}\HLI{64}
POmean       {\VBAR}
   transtype {\VBAR}
        SLT  {\VBAR}   46.49502   .2025403   229.56   0.000     46.09805      46.892
\HLI{13}{\BOTT}\HLI{64}
