Statistics and Its Interface

Volume 4 (2011)

Number 4

Propensity score stratification for observational comparison of repeated binary outcomes

Pages: 489 – 498

DOI: http://dx.doi.org/10.4310/SII.2011.v4.n4.a7

Authors

Donald Hedeker (University of Illinois at Chicago, U.S.A.)

Andrew C. Leon (Department of Psychiatry, Weill Cornell Medical College, New York, N.Y., U.S.A.)

Abstract

A two-stage longitudinal propensity adjustment is described for bias reduction in treatment effectiveness estimates in observational studies. The initial stage characterizes those who receive various ordinal doses of treatment in a model of time-varying propensity for treatment intensity. The second stage incorporates the propensity adjustment in longitudinal treatment effectiveness analyses of a binary outcome that are stratified by propensity quantile. Mantel-Haenszel pooled parameter estimates are then calculated as weighted means of quantile-specific estimates. A simulation study compares four approaches to quantile stratification and shows that the quintile stratification reduces more bias than when fewer strata are used with longitudinal data. Statistical power, type I error and coverage are also evaluated. A longitudinal, observational study of antidepressant effectiveness illustrates the approach.

Keywords

bias reduction, propensity adjustment, stratification, treatment effectiveness

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