258 (SE = 3.5586, n = 68) 
## Est of E[Y|T=1,Recom=1]-E[Y|T=/=1,Recom=1] 
##              13.0086 (SE = 7.1043, n = 57) 
## 
## Est of 
## E[Y|Trt received = Trt recom] - E[Y|Trt received =/= Trt recom]:                     
## 9.5398 (SE = 2.0051)</code></pre>
<p>Then we compare with the augmented estimator. Although this is based
on just 3 replications, we can see that the augmented estimator is
better at discriminating between benefitting and non-benefitting
patients, as evidenced by the large treatment 