eval_Dstar_Q function

Evaluate extra piece of efficient influence function resulting from misspecification of propensity score

eval_Dstar_Q(A, Y, DeltaY, DeltaA, Qn, gn, grn, a_0, reduction)

Arguments

• A: A vector of binary treatment assignment (assumed to be equal to 0 or 1)
• Y: A numeric of continuous or binary outcomes.
• DeltaY: Indicator of missing outcome (assumed to be equal to 0 if missing 1 if observed)
• DeltaA: Indicator of missing treatment (assumed to be equal to 0 if missing 1 if observed)
• Qn: List of estimated outcome regression evaluated at observations
• gn: List of estimated propensity scores evaluated at observations
• grn: List of estimated reduced-dimension propensity scores evaluated at observations
• a_0: Vector of values to return marginal mean
• reduction: A character equal to "univariate" for a univariate misspecification correction or "bivariate" for the bivariate version.