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Overall Consistency: A consistency assessment provides an overview of how well the organization's technology is functioning.
If no robust reference data are available, at a minimum, a consistency assessment should allow some estimation of the forest change quality, i.e. reinterpretation of small samples in an independent manner by regional experts.
A consistency assessment of the results across datasets is fundamental in verifying their reliability and in deciding for a further biological validation step [ 56].
None of these approaches can offer all the analytical capacities available in a classical meta-analysis forest plot to a consistency assessment in a network meta-analysis: namely the composition of the network effect estimate based on direct evidence, the consistency between different evidence sources, outlier observations and the influence on aggregated treatment effect estimates.
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Design consistency assessment is a tool employed by designers to improve road safety.
Path-based estimates and the estimate of the residual evidence can be used with their contribution to the network estimate to set up a forest plot for the consistency assessment.
Moreover, an individual patient data meta-analysis made possible an accurate definition of prespecified subgroup of patients, allowing for consistency assessment of study findings across predefined patient subgroups.
In contrast, the approach to the consistency assessment presented in the following allows for the application of a forest plot for one specific treatment comparison.
For the consistency assessment between the effects of different evidence sources, we have provided a visualisation of an approximating independent path decomposition by forest plots and have investigated its performance in comparison to that of the net heat plot.
Reanalyzing the authors' published methods and results, we found that their analysis failed to account for variability in the genomic data and more importantly compared different drug sensitivity measures from each study, which substantially deviate from our more stringent consistency assessment.
For the internal consistency assessment, we examined the composite reliability (CR), Cronbach's alpha, and average variance extracted (AVE) (seeTable 2) (Teo et al. 2003).
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