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

Author(s):

Rubin, Donald B.

Publication Year:

1978

Report Number:

RB-78-16

Source:

ETS Research Bulletin

Document Type:

Report

Page Count:

35

Subject/Key Words:

Guggenheim Fellowship, National Institute of Education (NIE), Bias, Mathematical Formulas, Observational Studies, Sampling, Statistical Analysis

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. (35pp.)

Read More

• Request Copy (specify title and report number, if any)
• http://dx.doi.org/10.1002/j.2333-8504.1978.tb01163.x