[Skip to Content]
Access to paid content on this site is currently suspended due to excessive activity being detected from your IP address Please contact the publisher to request reinstatement.
[Skip to Content Landing]
Views 617
Citations 0
Comment & Response
April 12, 2016

Covariate Adjustment and Propensity Score—Reply

Author Affiliations
  • 1Department of Emergency Medicine, Denver Health Medical Center, Denver, Colorado
  • 2Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
JAMA. 2016;315(14):1522. doi:10.1001/jama.2015.19093

In Reply We agree with Dr Garrido that, of the methods listed in our article, matching is likely to be most effective at balancing baseline characteristics between treated and untreated participants, thus eliminating to a greater extent systematic differences between groups.1 Although there appears to be a hierarchy (ie, matching over stratification over covariate adjustment) in terms of the effectiveness of balancing,2 we would like to emphasize the importance of accurate specification of the score prior to its ultimate use. Without proper specification (ie, inclusion of appropriate variables in the propensity score model), even propensity score matching is unlikely to effectively balance study groups. Although the intent of our article was to list common uses of the propensity score (all of which are better than no adjustment for confounding), we recognize certain uses of the propensity score are likely better than others; we did not mean to imply that all approaches were equally useful or effective.

First Page Preview View Large
First page PDF preview
First page PDF preview