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Applications of propensity score matching: a case series of articles published in [PDF]
Annals of Coloproctology, 2022 Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations.
Hwa Jung Kim
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medRxiv, 2021 Background: Thrombotic complications occur at high rates in hospitalized patients with COVID-19, yet the impact of intensive antithrombotic therapy on mortality is uncertain.
Matthew L. Meizlish +21 more
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JAMA, 2015 Two recent studies published in JAMA involved the analysis of observational data to estimate the effect of a treatment on patient outcomes. In the study by Roze et al,1 a large observational data set was analyzed to estimate the relationship between early echocardiography screening for patent ductus arteriosus and mortality among preterm infants.
Jason S, Haukoos, Roger J, Lewis
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Dataset characteristics affected the performance of propensity score methods for controlling confounding: a simulation study. [PDF]
Journal of Clinical Epidemiology, 2022 OBJECTIVE In observational studies, researchers must select a method to control for confounding. Options include propensity score methods and regression.
J. Wilkinson, M. Mamas, E. Kontopantelis
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Demystifying propensity scores [PDF]
British Journal of Anaesthesia, 2014 Increasing availability of large clinical data sets is driving a proliferation of observational epidemiology studies in perioperative care. This wealth of data must be judged both on its inherent quality and the statistical techniques used to analyse the data set.
G N, Okoli, R D, Sanders, P, Myles
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Propensity score matching with R: conventional methods and new features
Annals of Translational Medicine, 2021 It is increasingly important to accurately and comprehensively estimate the effects of particular clinical treatments. Although randomization is the current gold standard, randomized controlled trials (RCTs) are often limited in practice due to ethical ...
Qin-yu Zhao +5 more
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Economia Aplicada, 2010 O artigo busca mensurar as diferenças de desempenho entre escolas públicas e privadas na fase inicial do ensino fundamental. Utiliza-se o método dos mínimos quadrados ponderados por propensity score com as informações do SAEB/2003 para evitar problemas ...
Marco Túlio Aniceto França +1 more
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Agriculture & Food Security, 2021 Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries.
M. G. Wordofa +5 more
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Contrast-specific propensity scores [PDF]
Biostatistics & Epidemiology, 2021 Basic propensity score methodology is designed to balance the distributions of multivariate pre-treatment covariates when comparing one active treatment with one control treatment. However, practical settings often involve comparing more than two treatments, where more complicated contrasts than the basic treatment-control one, (1,−1), are relevant ...
Shasha Han, Donald. B. Rubin
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Propensity score methods for observational studies with clustered data: A review
Statistics in Medicine, 2022 Propensity score methods are a popular approach to mitigating confounding bias when estimating causal effects in observational studies. When study units are clustered (eg, patients nested within health systems), additional challenges arise such as ...
Ting-Hsuan Chang, E. Stuart
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