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American Journal of Epidemiology Advance Access published online on March 28, 2007
American Journal of Epidemiology, doi:10.1093/aje/kwm068
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American Journal of Epidemiology Copyright © 2007 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

Stürmer et al. Respond to "Propensity Score Methods in Epidemiology"

Til Stürmer1,2, Sebastian Schneeweiss1,3, Kenneth J. Rothman1,4,5, Jerry Avorn1 and Robert J. Glynn1,2,6

1 Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
2 Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
3 Department of Epidemiology, Harvard School of Public Health, Boston, MA
4 Department of Epidemiology, Boston University School of Public Health, Boston, MA
5 Research Triangle Institute, Research Triangle Park, NC
6 Department of Biostatistics, Harvard School of Public Health, Boston, MA

Correspondence to Dr. Til Stürmer, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA 02120 (e-mail: til.sturmer@post.harvard.edu).

Received for publication January 29, 2007. Accepted for publication January 31, 2007.

Abbreviations: PSC, propensity score calibration

The first 10% of the full text of this article appears below.

We appreciate the thoughtful commentary of Oakes and Church (1) on our paper (2) and their conclusion that propensity score calibration (PSC) may be helpful when some confounders are unmeasured. We agree that usual applications of propensity score methods control only for confounding by "observable selection," but we see much closer links between instrumental variables (3–5) . . . [Full Text of this Article]


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