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Fig. 6 | BMC Medical Research Methodology

Fig. 6

From: A method for assessing robustness of the results of a star-shaped network meta-analysis under the unidentifiable consistency assumption

Fig. 6

Probability of each group being the best (y-axis) against the extent of inconsistency, \( \left|{\overline{\omega}}_{BC}\right| \) (x-axis), within the obtained range for each data set. a when I2 is 0% and the standard error is 1, b when I2 is 40% and the standard error is 1, c when I2 is 70% and the standard error is 1, d when I2 is 0% and the standard error is 2, and e when I2 is 40% and the standard error is 2, f when I2 is 70% and the standard error is 2, g when I2 is 0% and the standard error is \( 2\sqrt{2} \), h when I2 is 40% and the standard error is \( 2\sqrt{2} \), and i when I2 is 70% and the standard error is \( 2\sqrt{2} \). The black dotted, gray solid, and black solid lines indicate the probability corresponding to groups a, b, and c, respectively. A vertical line marks the point at which some lines cross, and the percentages in the dark gray and dim gray boxes represent the proportions of \( \left|{\overline{\omega}}_{BC}\right| \) that resulted in a consistent ranking and an inconsistent ranking of treatments relative to the original ranking, respectively

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