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Propensity score matching and randomization
Journal of Clinical Epidemiology, 2015We used elective total joint replacement (TJR) as a case study to demonstrate selection bias toward offering this procedure to younger and healthier patients.Longitudinal data from 2,202 men were integrated with hospital data and mortality records. Study participants were followed from recruitment (1996-1999) until TJR, death, or 2007 (end of follow-up)
Mnatzaganian, George +3 more
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2011
Propensity-scores and propensity-score-matching can be used respectively for adjusting covariates in a multiple regression analysis and for stratification/matching of asymmetric observational clinical data, and have recently been emphasized by Dr. D’Agostino in an invited paper in Circulation as a promising additional tool for analyzing such data (D ...
Ton J. Cleophas, Aeilko H. Zwinderman
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Propensity-scores and propensity-score-matching can be used respectively for adjusting covariates in a multiple regression analysis and for stratification/matching of asymmetric observational clinical data, and have recently been emphasized by Dr. D’Agostino in an invited paper in Circulation as a promising additional tool for analyzing such data (D ...
Ton J. Cleophas, Aeilko H. Zwinderman
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Propensity score matching methodology
Video Journal of Biomedicine, 2022Learn more about propensity score matching and how it is used to evaluate data in observational studies that do not have an internal comparator in this animated video. To find out more about how the methodology was used to evaluate effectiveness data from a patient drug registry and an open-label study, please refer to the two research articles cited ...
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Nonparametric Bootstrap for Propensity Score Matching Estimators
SSRN Electronic Journal, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bodory, Hugo +3 more
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Medical Care, 2003
Health services researchers are often interested in the effect of a treatment or a service in situations in which randomization is difficult or impossible. One useful alternative involves propensity score methods, a means for matching members of different groups based on a range of characteristics.
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Health services researchers are often interested in the effect of a treatment or a service in situations in which randomization is difficult or impossible. One useful alternative involves propensity score methods, a means for matching members of different groups based on a range of characteristics.
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Propensity Score Matching with Time‐Dependent Covariates
Biometrics, 2005SummaryIn observational studies with a time‐dependent treatment and time‐dependent covariates, it is desirable to balance the distribution of the covariates at every time point. A time‐dependent propensity score based on the Cox proportional hazards model is proposed and used in risk set matching. Matching on this propensity score is shown to achieve a
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Propensity Scores and Propensity Score Matching for Assessing Multiple Confounders
2012In the Chap. 23 methods for assessing confounders were reviewed. Propensity score are ideal for assessing confounding, particularly, if multiple confounders are in a study. E.g., age and cardiovascular risk factors may not be similarly distributed in two treatment groups of a parallel-group study. Propensity score matching is used to make observational
Ton J. Cleophas, Aeilko H. Zwinderman
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The American Statistician, 2008
Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N. +2 more
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Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N. +2 more
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Propensity Score Matching: Retrospective Randomization?
The Journal of Foot and Ankle Surgery, 2017Randomized controlled trials are viewed as the optimal study design. In this commentary, we explore the strength of this design and its complexity. We also discuss some situations in which these trials are not possible, or not ethical, or not economical.
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