Results 11 to 20 of about 3,962,876 (306)
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
semanticscholar +1 more source
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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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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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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Applying Propensity Score Methods in Clinical Research in Neurology
Neurology, 2021 Propensity score–based analysis is increasingly being used in observational studies to estimate the effects of treatments, interventions, and exposures. We introduce the concept of the propensity score and how it can be used in observational research. We
P. Austin +3 more
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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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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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International Journal of Turkish Education Sciences, 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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