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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedKumamaru H, Jalbert JJ, Nguyen LL
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data.
The authors assessed the utility of an automated data-adaptive analytic approach for confounding adjustment when both claims and clinical registry data are available. Using a comparative study example of carotid artery stenting vs. carotid endarterectomy with strong confounding by indication, they found that the automated data-adaptive propensity score performed better than the investigator-specified propensity score in general, but both claims and registry data were needed to adequately control for bias.
AHRQ-funded; 29020050016I.
Citation: Kumamaru H, Jalbert JJ, Nguyen LL .
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data.
PLoS One 2022 Aug;17(8):e0272975. doi: 10.1371/journal.pone.0272975..
Keywords: Registries, Comparative Effectiveness, Research Methodologies, Patient-Centered Outcomes Research, Evidence-Based Practice