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Propensity score matching [PDF]
, 2001 The typical evaluation problem aims at quantifying the impact of a ÔtreatmentÕ (e.g. a training programme, a reform, or a medicine) on an outcome of interest (such as earnings, school attendance or illness indicators), where a group of units, the ÔtreatedÕ, receive the ÔtreatmentÕ, while a second group remains untreated.
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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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Matched or unmatched analyses with propensity‐score–matched data?
Statistics in Medicine, 2018Propensity‐score matching has been used widely in observational studies to balance confounders across treatment groups. However, whether matched‐pairs analyses should be used as a primary approach is still in debate. We compared the statistical power and type 1 error rate for four commonly used methods of analyzing propensity‐score–matched samples with
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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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Statistical matching: hot deck or propensity score?
Quality & QuantityThis empirical study compares hot deck (HD) and propensity score (PS) statistical matching methods (SM) with the aim of providing useful guidance to researchers interested in implementing SM methods. Our main goal is to narrow the methodological gap between the two approaches to statistical matching.
Elena Dalla Chiara +2 more
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On the inefficiency of propensity score matching
AStA Advances in Statistical Analysis, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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[Propensity score matching in SPSS].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2016To realize propensity score matching in PS Matching module of SPSS and interpret the analysis results.The R software and plug-in that could link with the corresponding versions of SPSS and propensity score matching package were installed. A PS matching module was added in the SPSS interface, and its use was demonstrated with test data.Score estimation ...
Fuqiang, Huang +5 more
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Propensity Scores and Matching Methods
2018Many studies aim to estimate causal effects of risk factors, interventions, or programs, on outcomes of interest. While randomization is generally seen as the preferred design for estimating causal effects it is not always possible to randomize the “treatments” of interest, especially in the social sciences. Propensity scores are a useful tool that can
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