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High-dimensional propensity score adjustment in studies of treatment effects using health care claims data

BACKGROUND: Adjusting for large numbers of covariates ascertained from patients’ health care claims data may improve control of confounding, as these variables may collectively be proxies for unobserved factors. Here we develop and test an algorithm that empirically identifies candidate covariates,...

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Detaylı Bibliyografya
Asıl Yazarlar: Schneeweiss, Sebastian, Rassen, Jeremy A., Glynn, Robert J., Avorn, Jerry, Mogun, Helen, Brookhart, M. Alan
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2009
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3077219/
https://ncbi.nlm.nih.gov/pubmed/19487948
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0b013e3181a663cc
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