Results 31 to 40 of about 194,588 (164)
Propensity Score Analysis with Survey Weighted Data
Journal of Causal Inference, 2015 Propensity score analysis (PSA) is a common method for estimating treatment effects, but researchers dealing with data from survey designs are generally not properly accounting for the sampling weights in their analyses.
Ridgeway Greg +3 more
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Research on the Impact of Establishing Health Records Based on Propensity Score Matching Method on the Medical Behavior of Elderly People [PDF]
Zhongguo quanke yixueBackground The problem of population aging in China is becoming increasingly prominent, and the health of the elderly has become an important issue. Objective To analyse the current situation of establishing health records for the elderly and explore the
TANG Xinyi, HU Xinyu, LIU Shanshan, ZHANG Yimin
doaj +1 more source
International Journal of Preventive Medicine, 2021 Background: The aim of this study was to estimate the effect of smoking on metabolic syndrome (MS) and its components applying inverse probability-of-treatment weighting (IPTW) and propensity score (PS) matching. Methods: Using data from Tehran Lipid and
Farzad Khodamoradi +5 more
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Weighting Regressions by Propensity Scores [PDF]
Evaluation Review, 2008 Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters.
Freedman, David A, Berk, Richard A
openaire +3 more sources
Revista Brasileira de Estudos de PopulaçãoEste artigo tem por objetivo estimar o impacto da frequência ao ensino infantil na proficiência dos alunos do ensino fundamental público no Brasil, utilizando como proxy as notas dos alunos em português e matemática disponíveis na Prova Brasil 2011.
Walcir Soares da Silva Junior +1 more
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Epidemiology, Biostatistics and Public Health, 2022 Background. In observational research on causal effects, missing data and confounding are very common problems. Multiple imputation and propensity score methods have gained increasing interest as methods to deal with these, but despite their ...
Bas BL Penning de Vries +1 more
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Balancing Score Adjusted Targeted Minimum Loss-based Estimation
Journal of Causal Inference, 2015 Adjusting for a balancing score is sufficient for bias reduction when estimating causal effects including the average treatment effect and effect among the treated.
Lendle Samuel David +2 more
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Matching on the Estimated Propensity Score [PDF]
Econometrica, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Abadie, Guido W. Imbens
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Frontiers in Surgery, 2022 ObjectiveTo investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients.MethodsA retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who
Bing Zhang +8 more
doaj +1 more source
PSL Quarterly Review, 2019 This paper evaluates the impact of the US African Growth and Opportunity Act (AGOA) trade arrangement on the growth of exports from Sub-Saharan African (SSA) countries.
Busani Moyo +2 more
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