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• W4320342928 abstract "Scientists often use meta-analysis to characterize the impact of an intervention on some outcome of interest across a body of literature. However, threats to the utility and validity of meta-analytic estimates arise when scientists average over potentially important variations in context like different research designs. Uncertainty about quality and commensurability of evidence casts doubt on results from meta-analysis, yet existing software tools for meta-analysis do not provide an explicit software representation of these concerns. We present MetaExplorer, a prototype system for meta-analysis that we developed using iterative design with meta-analysis experts to provide a guided process for eliciting assessments of uncertainty and reasoning about how to incorporate them during statistical inference. Our qualitative evaluation of MetaExplorer with experienced meta-analysts shows that imposing a structured workflow both elevates the perceived importance of epistemic concerns and presents opportunities for tools to engage users in dialogue around goals and standards for evidence aggregation." @default.
• W4320342928 created "2023-02-13" @default.
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• W4320342928 date "2023-04-19" @default.
• W4320342928 modified "2023-10-18" @default.
• W4320342928 title "MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis" @default.
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• W4320342928 doi "https://doi.org/10.1145/3544548.3580869" @default.
• W4320342928 hasPublicationYear "2023" @default.
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