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- W3211334080 abstract "Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222ABSTRACT A goal of comparative effectiveness research is to help stakeholders reach consensus about the benefits and harms of medical interventions, at both the individual and population levels. The Institute ofMedicine and others have recognized that to advance comparative effectiveness research, it will be necessary to use evidence from data sources otherthan randomized-controlled clinical trials. Different sources of evidence, suchas randomized trials, observational studies, and meta-analyses, however,have strengths and weaknesses. Therefore, to help stakeholders reach consensus about the effectiveness of medical interventions, we argue it willbe necessary not only to generate, but also to synthesize and weigh evidence from multiple data sources. In this chapter, we illustrate and refinean approach for using information from multiple data sources called crossdesign synthesis. Cross-design synthesis is a way of thinking about andframing comparative effectiveness questions such that multiple data sourcescan be used together to help answer those questions. We briefly reviewthe strengths and weaknesses of evidence generated from different studydesigns, introduce cross-design synthesis, and illustrate the use of crossdesign synthesis with a case study investigating whether the initiation of theuse of antidepressants increases the risk of suicidal behavior in depressedchildren and adolescents." @default.
- W3211334080 created "2021-11-08" @default.
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- W3211334080 date "2017-02-24" @default.
- W3211334080 modified "2023-09-27" @default.
- W3211334080 title "Combining Information from Multiple Data Sources: An Introduction to Cross-Design Synthesis with a Case Study" @default.
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- W3211334080 doi "https://doi.org/10.1201/9781315159409-15" @default.
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