Showing papers by "Donald B. Rubin published in 1979"

Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies

Abstract: Monte Carlo methods are used to study the efficacy of multivariate matched sampling and regression adjustment for controlling bias due to specific matching variables X when dependent variables are moderately nonlinear in X. The general conclusion is that nearest available Mahalanobis metric matching in combination with regression adjustment on matched pair differences is a highly effective plan for controlling bias due to X.

Measuring the Appropriateness of Multiple-Choice Test Scores

Abstract: A student may be so atypical and unlike other students that his or her aptitude test score fails to be a completely appropriate measure of his or her relative ability. We consider the problem of us...