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On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm

PURPOSE: The high-dimensional propensity score algorithm attempts to improve control of confounding in typical treatment effect studies in pharmacoepidemiology and is increasingly being used for the analysis of large administrative databases. Within this multi-step variable selection algorithm, the...

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Detalles Bibliográficos
Publicado en:Pharmacoepidemiol Drug Saf
Autores principales: Schuster, Tibor, Pang, Menglan, Platt, Robert W
Formato: Artigo
Lenguaje:Inglês
Publicado: 2015
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5072887/
https://ncbi.nlm.nih.gov/pubmed/25866189
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pds.3773
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