Sequential change detection and monitoring of temporal trends in random-effects meta-analysis.
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ABSTRACT:
SUBMITTER: Dogo SH
PROVIDER: S-EPMC5484389 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
Publications
Sequential change detection and monitoring of temporal trends in random-effects meta-analysis.
Dogo Samson Henry SH Clark Allan A Kulinskaya Elena E
Research synthesis methods 20161208 2
Temporal changes in magnitude of effect sizes reported in many areas of research are a threat to the credibility of the results and conclusions of meta-analysis. Numerous sequential methods for meta-analysis have been proposed to detect changes and monitor trends in effect sizes so that meta-analysis can be updated when necessary and interpreted based on the time it was conducted. The difficulties of sequential meta-analysis under the random-effects model are caused by dependencies in increments ...[more]
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