Reasons or excuses for avoiding meta-analysis in forest plots
By John P. A. Ioannidis, N. Patsopoulos, H. Rothstein. British medical journal, 2008
455 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/3e232826d82ba78cfedb042c4d4723e351867281
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In Environmental Engineering
In Global and Planetary Change
In Nature and Landscape Conservation
Citations in the corpus
- Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses (2009, background): “This is extension of the debate about whether heterogeneous data can be combined in traditional meta-analyses.(34) Finally, one has to critically consider whether the data can be extra polated from large samples to individual patients and settings.”
- Systematic Review. What is the evidence of the impact of microfinance on the well-being of poor people? (2011, background): “(2008) point out that the aim of SR and meta-analysis should not be limited solely to generating a single pooled estimate, but should extend to examining ‘consistency of effects’ as well as promoting ‘understanding of moderator variables, boundary conditions, and generalisability’ (Ioannidis et al. ”
- Objectively measured physical capability levels and mortality: systematic review and meta-analysis (2010, methodology): “We have presented summary, overall estimates from meta-analyses despite this, as most effect estimates from individual studies were in the same direction and doing meta-analyses has been argued to still be appropriate.”
- Long-term mental health of war-refugees: a systematic literature review (2015, unknown): “sources of heterogeneity [37–40].”