High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.

The high-dimensional propensity score (hdPS) algorithm was proposed for automation of confounding adjustment in problems involving large healthcare databases. It has been evaluated in comparative effectiveness research (CER) with point treatments to handle baseline confounding through matching or co...

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Publicado en:	Statistics in Medicine Vol. 33; no. 5; pp. 753 - 782
Autores principales:	Neugebauer, Romain, Schmittdiel, Julie A, Zhu, Zheng, Rassen, Jeremy A, Seeger, John D, Schneeweiss, Sebastian
Formato:	Journal Article
Publicado:	Wiley-Blackwell Feb2014
Acceso en línea:	Ver este registro en EBSCOhost