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RISKS MANAGEMENT. A PROPENSITY SCORE APPLICATION [PDF]
Annals of the University of Oradea: Economic Science, 2008 Risk management is relatively unexplored in Romania. Although Romanian specialists dwell on theoretical aspects such as the risks classification and the important distinction between risks and uncertainty the practical relevance of the matter is outside ...
Constangioara Alexandru
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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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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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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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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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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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A experiência recente do PRONAF em Pernambuco: uma análise por meio de propensity score
Economia Aplicada, 2006 O objetivo desse trabalho é avaliar a experiência do PRONAF entre os agricultores do Estado de Pernambuco. São utilizados dados sobre aproximadamente 4.500 agricultores familiares desse Estado, coletados em 2001, divididos entre beneficiários do programa
André Matos Magalhães +3 more
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BMC Medical Research Methodology, 2020 Background Propensity scores are widely used to deal with confounding bias in medical research. An incorrectly specified propensity score model may lead to residual confounding bias; therefore it is essential to use diagnostics to assess propensity ...
Emily Granger +3 more
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Uluslararası Türk Eğitim Bilimleri Dergisi, 2023 In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
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BMC Medical Research Methodology, 2023 Background When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each site or data from all sites when ...
Chen Huang +4 more
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