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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.
Results
1 to 2 of 2 Research Studies DisplayedDagne GA, Brown CH, Howe G
Testing moderation in network meta-analysis with individual participant data.
The authors extended existing network methods for main effects to examining moderator effects. They further studied how the use of individual participant data may increase the sensitivity of network meta-analysis (NMA) for detecting moderator effects. They proposed a new NMA diagram and applied it to data from a classroom-based randomized study that involved two sub-trials, each comparing interventions that were contrasted with separate control groups.
AHRQ-funded; HS020263.
Citation: Dagne GA, Brown CH, Howe G .
Testing moderation in network meta-analysis with individual participant data.
Stat Med 2016 Jul 10;35(15):2485-502. doi: 10.1002/sim.6883.
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Keywords: Comparative Effectiveness, Data, Research Methodologies
Wang SV, Verpillat P, Rassen JA
Transparency and reproducibility of observational cohort studies using large healthcare databases.
The researchers explored the extent to which published pharmacoepidemiologic studies using commercially available databases could be reproduced by other investigators. Based on a nonsystematic sample of 38 descriptive or comparative safety/effectiveness cohort studies, they concludedc that an essential component of transparent and reproducible databases is more complete reporting of study implementation.
AHRQ-funded; HS022193.
Citation: Wang SV, Verpillat P, Rassen JA .
Transparency and reproducibility of observational cohort studies using large healthcare databases.
Clin Pharmacol Ther 2016 Mar;99(3):325-32. doi: 10.1002/cpt.329..
Keywords: Health Information Technology (HIT), Data, Research Methodologies, Comparative Effectiveness