Double Robustness in Estimation of Causal Treatment Effects
Double Robustness in Estimation of Causal Treatment Effects
Double Robustness in Estimation of Causal Treatment Effects
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4. Adjustment by Inverse Weight<strong>in</strong>g<br />
If: e(X, β) = e(X), the true propensity score<br />
� �<br />
ZY<br />
E<br />
e(X)<br />
=<br />
� � � � �<br />
ZY1<br />
ZY1 �<br />
E = E E �<br />
e(X)<br />
e(X) � Y1,<br />
=<br />
��<br />
X<br />
�<br />
Y1<br />
E<br />
e(X)<br />
(1)<br />
E(Z|Y1,<br />
� �<br />
Y1<br />
X) = E<br />
e(X) E(Z|X)<br />
=<br />
�<br />
�<br />
Y1<br />
E<br />
e(X)<br />
(2)<br />
e(X)<br />
�<br />
= E(Y1) (3)<br />
(1) follows because ZY = Z{Y1Z + Y0(1 − Z)} = Z 2 Y1 + Z(1 − Z)Y0<br />
and Z 2 = Z and Z(1 − Z) = 0 (b<strong>in</strong>ary )<br />
(2) follows because (Y0, Y1) � Z|X (no unmeasured confounders)<br />
(3) follows because e(X) = E(Z|X)<br />
Similarly: E<br />
� �<br />
(1 − Z)Y<br />
1 − e(X)<br />
= E(Y0)<br />
<strong>Double</strong> <strong>Robustness</strong>, EPID 369, Spr<strong>in</strong>g 2007 22