Bayesian approaches to fixed effects meta‐analysis
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DOI: 10.1002/jrsm.1566
Abstract: Bayesian methods seem a natural choice for combining sources of evidence in meta‐analyses. However, in practice, their sensitivity to the choice of prior distribution is much less attractive, particularly for parameters describing heterogeneity. A recent… read more here.
Keywords: meta analysis; approaches fixed; effects meta; bayesian approaches ... See more keywords
Appropriateness of conducting and reporting random‐effects meta‐analysis in oncology
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DOI: 10.1002/jrsm.1702
Abstract: A random‐effects model is often applied in meta‐analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals Research Synthesis… read more here.
Keywords: oncology; meta analysis; medicine; random effects ... See more keywords
Summarizing empirical information on between‐study heterogeneity for Bayesian random‐effects meta‐analysis
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DOI: 10.1002/sim.9731
Abstract: In Bayesian meta‐analysis, the specification of prior probabilities for the between‐study heterogeneity is commonly required, and is of particular benefit in situations where only few studies are included. Among the considerations in the set‐up of… read more here.
Keywords: heterogeneity; meta analysis; study heterogeneity; random effects ... See more keywords
The clinical significance of duration of untreated psychosis: an umbrella review and random‐effects meta‐analysis
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DOI: 10.1002/wps.20822
Abstract: The idea that a longer duration of untreated psychosis (DUP) leads to poorer outcomes has contributed to extensive changes in mental health services worldwide and has attracted considerable research interest over the past 30 years.… read more here.
Keywords: dup; effects meta; analysis; random effects ... See more keywords