1. The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses 
W.G. Melsen, M.C.J. Bootsma, M.M. Rovers, M.J.M. Bonten 
Clinical Microbiology and Infection 
Volume 20, Issue 2, Pages (February 2014)
DOI: /
Copyright © 2014 European Society of Clinical Infectious Diseases Terms and Conditions

2. FIG. 1
Results of the Monte Carlo simulation study. The associations between the I2-statistic and the probability (%) that the true average relative risk (a) and the result of the reference study (b) are contained in the 95% CI of the meta-analysis, according to different levels of heterogeneity. The dotted line represents the average I2-statistic. The coloured lines represent the probabilities with a fixed-effects model (red) and a random-effects model (blue). MH, calculations based on a fixed-effects model with the Mantel–Haenszel method; RMH, calculations based on a random-effects model with the Mantel–Haenszel method.
Clinical Microbiology and Infection  , DOI: ( / )
Copyright © 2014 European Society of Clinical Infectious Diseases Terms and Conditions

3. FIG. 2 Clinical scenarios.
Clinical Microbiology and Infection  , DOI: ( / )
Copyright © 2014 European Society of Clinical Infectious Diseases Terms and Conditions