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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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書誌詳細
主要な著者: Stürmer, Til, Rothman, Kenneth J., Avorn, Jerry, Glynn, Robert J.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2010
主題:
オンライン・アクセス: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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