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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2. Counterfactual Model<br />
Conditional expectation: For two random variables Y and Z,<br />
E(Y |Z = z)<br />
is the “average ” across all values <strong>of</strong> Y for which the correspond<strong>in</strong>g value<br />
<strong>of</strong> Z is equal to z<br />
• E(Y |Z) is a function <strong>of</strong> Z tak<strong>in</strong>g on values E(Y |Z = z) as Z takes<br />
on values z<br />
• E{ E(Y |Z) } = E(Y ) (“average the averages ” across all possible<br />
values <strong>of</strong> Z)<br />
• E{ Y f(Z)|Z } = f(Z)E(Y |Z) – f(Z) is constant for any value <strong>of</strong><br />
Z so factors out <strong>of</strong> the average<br />
• If Y � Z, then E(Y |Z = z) = E(Y ) for any z<br />
<strong>Double</strong> <strong>Robustness</strong>, EPID 369, Spr<strong>in</strong>g 2007 9