Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies
Abstract Background Standard random-effects meta-analysis methods perform poorly when applied to few studies only. Such settings however are commonly encountered in practice. It is unclear, whether or to what extent small-sample-size behaviour can be improved by more sophisticated modeling. Methods...
Main Authors: | Svenja E. Seide, Christian Röver, Tim Friede |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
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Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-018-0618-3 |
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