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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Bibliographic Details

Published in:	Statistics in Medicine Vol. 33; no. 5; pp. 753 - 782
Main Authors:	Neugebauer, Romain, Schmittdiel, Julie A, Zhu, Zheng, Rassen, Jeremy A, Seeger, John D, Schneeweiss, Sebastian
Format:	Journal Article
Published:	Wiley-Blackwell Feb2014
Online Access:	View this record in EBSCOhost