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  Vol. 297 No. 19, May 16, 2007 TABLE OF CONTENTS
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Analytic Approaches to Observational Studies With Treatment Selection Bias—Reply

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

In Reply: Drs Novikov and Kalter-Leibovici suggest that we include our instrumental variable of regional cardiac catheterization rate in the propensity score. The propensity score is used in analyses to remove confounding. We did not include this variable because it was not independently related to the outcome. Incorporating it into the standard models does not change the results for adjusted relative risk (multivariable model risk adjustment, 0.503; 95% CI, 0.495-0.513; propensity score risk adjustment, 0.517; 95% CI, 0.508-0.526; propensity-based matching, 0.539; 95% CI, 0.515-0.563). This is further evidence that regional catheterization rate is not related to patient health status, and since it is not a confounder, it is not required in the propensity score.

Regarding their comment that the difference between the propensity score and instrumental variable results relates to them being different analytical methods, this is actually the central point of our study. Instrumental variable analysis is conceptually different . . . [Full Text of this Article]

Therese A. Stukel, PhD
stukel@ices.on.ca
Institute for Clinical Evaluative Sciences
Toronto, Ontario

Elliott S. Fisher, MD, MPH
Center for the Evaluative Clinical Sciences
Dartmouth Medical School
Hanover, NH

David E. Wennberg, MD, MPH
Center for Outcomes Research and Evaluation
Maine Medical Center
Portland



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RELATED LETTERS

Analytic Approaches to Observational Studies With Treatment Selection Bias
Ilya Novikov and Ofra Kalter-Leibovici
JAMA. 2007;297(19):2077.
EXTRACT | FULL TEXT  

Analytic Approaches to Observational Studies With Treatment Selection Bias
Jan P. Vandenbroucke
JAMA. 2007;297(19):2077-2078.
EXTRACT | FULL TEXT  

RELATED ARTICLES

Analysis of Observational Studies in the Presence of Treatment Selection Bias: Effects of Invasive Cardiac Management on AMI Survival Using Propensity Score and Instrumental Variable Methods
Thérèse A. Stukel, Elliott S. Fisher, David E. Wennberg, David A. Alter, Daniel J. Gottlieb, and Marian J. Vermeulen
JAMA. 2007;297(3):278-285.
ABSTRACT | FULL TEXT  

Estimating Treatment Effects Using Observational Data
Ralph B. D’Agostino, Jr and Ralph B. D’Agostino, Sr
JAMA. 2007;297(3):314-316.
EXTRACT | FULL TEXT  






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