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Double Robustness in Estimation of Causal Treatment Effects

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6. Some Interest<strong>in</strong>g Issues<br />

Issue 1: How do we get standard errors for � ∆DR?<br />

• One way: use standard large sample theory , which leads to the<br />

so-called sandwich estimator<br />

�<br />

�<br />

� n�<br />

�n−2 �Ii = ZiYi<br />

e(Xi, � β) − {Zi − e(Xi, � β)}<br />

e(Xi, � β)<br />

m1(Xi, �α1)<br />

�<br />

(1 − Zi)Yi<br />

−<br />

1 − e(Xi, � β) + {Zi − e(Xi, � β)}<br />

1 − e(Xi, � β) m0(Xi,<br />

�<br />

�α0) − � ∆DR<br />

i=1<br />

• Use the bootstrap (i.e., resample B data sets <strong>of</strong> size n)<br />

<strong>Double</strong> <strong>Robustness</strong>, EPID 369, Spr<strong>in</strong>g 2007 37<br />

�I 2 i

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