Semiparametric Regression Analysis With Missing Response at Random
Semiparametric Regression Analysis With Missing Response at Random
We develop inference tools in a semiparametric partially linear regression model with missing response data. A class of estimators is defined that includes as special cases a semiparametric regression imputation estimator, a marginal average estimator, and a (marginal) propensity score weighted estimator. We show that any of our class of …