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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 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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Thyroid, 2019
Background: Papillary thyroid carcinoma (PTC) is the most common endocrine malignancy. Despite its low mortality rate, the disease has a recurrence rate of up to 30%.
Yossi Geron +8 more
semanticscholar +1 more source
Background: Papillary thyroid carcinoma (PTC) is the most common endocrine malignancy. Despite its low mortality rate, the disease has a recurrence rate of up to 30%.
Yossi Geron +8 more
semanticscholar +1 more source
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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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 Accounting Research
, 2017Jonathan E. Shipman +2 more
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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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