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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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Bibliographic Details
Main Authors: Stürmer, Til, Rothman, Kenneth J., Avorn, Jerry, Glynn, Robert J.
Format: Artigo
Language:Inglês
Published: Oxford University Press 2010
Subjects:
Online Access: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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