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We have done a lot of sensitivity analysis for example if you exclude the studies with low levels of replication - about the bottom 20% - that doesn't really change the result".
Results of sensitivity analysis are presented in Table 4.
Figure 1 illustrates the results of sensitivity analysis.
Fig. 4 Forest plots of Sensitivity analysis (random effects model) Fig. 5 Forest plots of Sensitivity analysis (removing one study at a time).
Figures 6 and 7 indicate the results of sensitivity analysis on TDF of C1.
Open image in new window Figure 4 Results of sensitivity analysis.
In the literature, previous non-probabilistic methods of sensitivity analysis are developed [16, 17].
Results are quantified as conflict delays and computational effort involved for each option of sensitivity analysis.
Table 7 Results of sensitivity analysis: emissions (kg CO2) Factor Minimum Maximum Mean Std.
Figure 7a, b presents the results of sensitivity analysis for ker,ww and ker,wo, respectively.
An approach using genetic algorithm and a new type of sensitivity analysis method is used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com