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The Role of the Propensity Score in Estimating Dose-Response Functions
Guido W. Imbens
Vol. 87, No. 3 (Sep., 2000), pp. 706-710
Stable URL: http://www.jstor.org/stable/2673642
Page Count: 5
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Estimation of average treatment effects in observational studies often requires adjustment for differences in pre-treatment variables. If the number of pre-treatment variables is large, standard covariance adjustment methods are often inadequate. Rosenbaum & Rubin (1983) propose an alternative method for adjusting for pre-treatment variables for the binary treatment case based on the so-called propensity score. Here an extension of the propensity score methodology is proposed that allows for estimation of average casual effects with multi-valued treatments.
Biometrika © 2000 Biometrika Trust