| Literature DB >> 26315351 |
Saswata Deb1, Peter C Austin2, Jack V Tu3, Dennis T Ko3, C David Mazer4, Alex Kiss5, Stephen E Fremes6.
Abstract
Observational studies using propensity-score methods have been increasing in the cardiovascular literature because randomized controlled trials are not always feasible or ethical. However, propensity-score methods can be confusing, and the general audience may not fully understand the importance of this technique. The objectives of this review are to describe (1) the fundamentals of propensity score methods, (2) the techniques to assess for propensity-score model adequacy, (3) the 4 major methods for using the propensity score (matching, stratification, covariate adjustment, and inverse probability of treatment weighting [IPTW]) using examples from previously published cardiovascular studies, and (4) the strengths and weaknesses of these 4 techniques. Our review suggests that matching or IPTW using the propensity score have shown to be most effective in reducing bias of the treatment effect.Mesh:
Year: 2015 PMID: 26315351 DOI: 10.1016/j.cjca.2015.05.015
Source DB: PubMed Journal: Can J Cardiol ISSN: 0828-282X Impact factor: 5.223