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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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Pubblicato in:Pharmacoepidemiol Drug Saf
Autori principali: Schuster, Tibor, Pang, Menglan, Platt, Robert W
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2015
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Accesso online: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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