Results 11 to 20 of about 3,851,696 (287)
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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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
semanticscholar +1 more source
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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Propensity Scores: A Practical Introduction Using R
Journal of MultiDisciplinary Evaluation, 2015 Background: This paper provides an introduction to propensity scores for evaluation practitioners. Purpose: The purpose of this paper is to provide the reader with a conceptual and practical introduction to propensity scores, matching using propensity ...
Antonio Olmos, Priyalatha Govindasamy
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An overview of propensity score matching methods for clustered data
Statistical Methods in Medical Research, 2022 Propensity score matching is commonly used in observational studies to control for confounding and estimate the causal effects of a treatment or exposure.
Benjamin Langworthy +2 more
semanticscholar +1 more source
Multivariate Behavioral Research, 2011 The propensity score is the probability of treatment assignment conditional on observed baseline characteristics. The propensity score allows one to design and analyze an observational (nonrandomized) study so that it mimics some of the particular ...
P. Austin
semanticscholar +1 more source
A Comparison of Propensity Score and Linear Regression Analysis of Complex Survey Data
Journal of Data Science, 2021 We extend propensity score methodology to incorporate survey weights from complex survey data and compare the use of multiple linear regression and propensity score analysis to estimate treatment effects in observational data from a complex survey.
Elaine L. Zanutto
semanticscholar +1 more source
Some Practical Guidance for the Implementation of Propensity Score Matching
Social Science Research Network, 2008 Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study.
Marco Caliendo, Sabine Kopeinig
semanticscholar +1 more source