2008
DOI: 10.1161/circoutcomes.108.790634
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Primer on Statistical Interpretation or Methods Report Card on Propensity-Score Matching in the Cardiology Literature From 2004 to 2006

Abstract: Background-Propensity-score matching is frequently used in the cardiology literature. Recent systematic reviews have found that this method is, in general, poorly implemented in the medical literature. The study objective was to examine the quality of the implementation of propensity-score matching in the general cardiology literature. Methods and Results-A total of 44 articles published in the American Heart Journal, the American Journal of Cardiology, Circulation, the European Heart Journal, Heart, the Inter… Show more

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Cited by 140 publications
(126 citation statements)
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“…Estimates of treatment effect are estimated in the resultant matched sample. Propensity-score matching is frequently used in the medical literature (Austin, 2007a(Austin, , 2008a(Austin, , 2008b. Stratification on the propensity score stratifies the original sample according to the values of the propensity score.…”
Section: Propensity Score Methodsmentioning
confidence: 99%
“…Estimates of treatment effect are estimated in the resultant matched sample. Propensity-score matching is frequently used in the medical literature (Austin, 2007a(Austin, , 2008a(Austin, , 2008b. Stratification on the propensity score stratifies the original sample according to the values of the propensity score.…”
Section: Propensity Score Methodsmentioning
confidence: 99%
“…In addition, 2 groups of 104 patients receiving either MVRp or MVR were matched on a 1:1 basis according to propensity score using nearest neighbor method with a caliper of 0.01. 9 As appropriate, the impact of the type of surgery on operative and overall mortality was obtained using McNemar's test and stratified univariate Cox model, respectively. 9…”
Section: Statisticsmentioning
confidence: 99%
“…Callipers should not be chosen too narrow, since this will lead to an unnecessary loss of observations. Matching should be accounted for in the analysis, such as the use of a Cox proportional hazards model for time to event data stratified by matched pairs 18 , or conditional logistic regression for binary data. Figure 3 presents the distribution of PS after 1:1 matching.…”
Section: Use Of Propensity Scores For Adjustmentmentioning
confidence: 99%