The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses.
By W. G. Melsen, M. Bootsma, Maroeska M. Rovers, M. Bonten. Clinical Microbiology and Infection, 2014
688 citations recorded by the source corpus.
Subfields: Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/0d77feee644ebc60807669e8bd3b9ddfc49cee10
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In Critical Care and Intensive Care Medicine
In Pulmonary and Respiratory Medicine
Citations in the corpus
- The heterogeneity statistic I 2 can be biased in small meta-analyses (2015, background): “are well understood, the effect of the treatment on new subjects will be hard to predict [1].”
- The heterogeneity statistic I2 can be biased in small meta-analyses (2015, background): “are well understood, the effect of the treatment on new subjects will be hard to predict [1].”