AUPEC | R Documentation |
This function estimates AUPEC. The details of the methods for this design are given in Imai and Li (2019).
AUPEC(T, tau, Y)
T |
The unit-level binary treatment receipt variable. |
tau |
The unit-level continuous score for treatment assignment. We assume those that have tau<0 should not have treatment. Conditional Average Treatment Effect is one possible measure. |
Y |
The outcome variable of interest. |
A list that contains the following items:
aupec |
The estimated Area Under Prescription Evaluation Curve |
sd |
The estimated standard deviation of AUPEC. |
Michael Lingzhi Li, Operations Research Center, Massachusetts Institute of Technology mlli@mit.edu, http://mlli.mit.edu;
Imai and Li (2019). “Experimental Evaluation of Individualized Treatment Rules”,
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