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Treatment Effects in the Presence of Unmeasured Confounding: Dealing With Observations in the Tails of the Propensity Score Distribution—A Simulation Study

Frailty, a poorly measured confounder in older patients, can promote treatment in some situations and discourage it in others. This can create unmeasured confounding and lead to nonuniform treatment effects over the propensity score (PS). The authors compared bias and mean squared error for various...

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Bibliografische gegevens
Hoofdauteurs: Stürmer, Til, Rothman, Kenneth J., Avorn, Jerry, Glynn, Robert J.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2010
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3025652/
https://ncbi.nlm.nih.gov/pubmed/20716704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwq198
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