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Research Studies is a monthly compilation of research articles funded by AHRQ or authored by AHRQ researchers and recently published in journals or newsletters.
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Wang 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.
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