2015
DOI: 10.1016/j.jtcvs.2015.03.057
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Propensity scores: Methods, considerations, and applications in the Journal of Thoracic and Cardiovascular Surgery

Abstract: Improved statistical practice is needed when using propensity scoring. This article suggests standard criteria for using this method in Journal publications.

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Cited by 135 publications
(78 citation statements)
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“…To control for potential differences in the characteristics of the patients between the sutureless group and conventional group, propensity-score matching was used [14][15][16] . Using a logistic regression model, which included variables such as age, gender, weight, neonatal status and TAPVC type, propensity scores were computed as the conditional probability of receiving cases.…”
Section: Discussionmentioning
confidence: 99%
“…To control for potential differences in the characteristics of the patients between the sutureless group and conventional group, propensity-score matching was used [14][15][16] . Using a logistic regression model, which included variables such as age, gender, weight, neonatal status and TAPVC type, propensity scores were computed as the conditional probability of receiving cases.…”
Section: Discussionmentioning
confidence: 99%
“…1, 16 Using a well described statistical method of propensity score matching, we identified a subset of patients with equal likelihood to undergo LEB or IEI to compare outcomes between similar patients. 17 …”
Section: Discussionmentioning
confidence: 99%
“…However, propensity matching on all available variables mitigates this bias to allow careful interpretation of these results. 17 …”
Section: Discussionmentioning
confidence: 99%
“…Due to the large spectrum of clinical presentation of TAD that may have influenced survival, we have adopted one-to-one propensity score matching based on sex, age, acuity of dissection (acute vs. subacute or chronic) and clinical presentation (complicated vs. uncomplicated) to minimize potential bias. Because the decision to stent also depended on the surgeon on duty in this study, we considered the participating center as an obligatory covariate according to McMurry's recommendations for building a propensity score (20). We did not consider introducing more variables into the scoring model to avoid excluding too many patients from the study.…”
Section: Discussionmentioning
confidence: 99%