Abstract
In the present chapter, we discuss meta-analysis of clinical trials and compare them with meta-analysis of diagnostic accuracy studies. The former is based on the mixed effects model by DerSimonian and Laird (Control Clin Trials 7:177–188, 1986), and the latter is currently based on four main methods, with the most known bivariate model and the hierarchical summary receiver operator curve model. Each type of meta-analysis needs to be investigated for sources of heterogeneity. Specialist software exist to help each type of analysis.
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- 1.
This is true in the case of the vertical axis being the standard error. See Sterne and Egger [12] for more options and shapes.
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Tsagris, M., Fragkos, K.C. (2018). Meta-Analyses of Clinical Trials Versus Diagnostic Test Accuracy Studies. In: Biondi-Zoccai, G. (eds) Diagnostic Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-78966-8_4
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