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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 2 of 2 Research Studies DisplayedWang SV, Maro JC, Baro E
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
In this study, the investigators propose a method that combines tree-based scan statistics with propensity score-matched analysis of new initiator cohorts, a robust design for investigations of drug safety. They subsequently conducted plasmode simulations to evaluate performance. The authors suggest that TreeScan with propensity score matching shows promise as a method for screening and prioritization of potential adverse events.
AHRQ-funded; HS022193.
Citation: Wang SV, Maro JC, Baro E .
Data mining for adverse drug events with a propensity score-matched tree-based scan statistic.
Epidemiology 2018 Nov;29(6):895-903. doi: 10.1097/ede.0000000000000907..
Keywords: Adverse Drug Events (ADE), Adverse Events, Patient Safety, Medication, Medication: Safety, Data, Research Methodologies
Hennessy S, Leonard CE, Gagne JJ
Pharmacoepidemiologic methods for studying the health effects of drug-drug interactions.
A drug-drug interaction (DDI) occurs when one or more drugs affect the pharmacokinetics (the body's effect on the drug) and/or pharmacodynamics (the drug's effect on the body) of one or more other drugs. This article discusses aspects of pharmacoepidemiologic research designs that are particularly salient to the design and interpretation of pharmacoepidemiologic studies of DDIs.
AHRQ-funded; HS023898; HS023122.
Citation: Hennessy S, Leonard CE, Gagne JJ .
Pharmacoepidemiologic methods for studying the health effects of drug-drug interactions.
Clin Pharmacol Ther 2016 Jan;99(1):92-100. doi: 10.1002/cpt.277..
Keywords: Medication: Safety, Research Methodologies, Medication