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This conclusion is robust with respect to potential noise or uncertainty issues, which in this case are mainly related to the coefficient of the objective functions.
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This conclusion was robust after correction for publication bias with correlation coefficients of 0.37, 0.16 and 0.45.
This conclusion was robust across a wide range of specifications and functional forms.
This conclusion was robust to sensitivity analysis.
This conclusion was robust to a wide range of sensitivity analyses, including an increased probability of urethral complications that may be associated with the use of non-coated catheters.
Our analysis suggests that a multiple model approach to understanding translation allows one to ascertain which aspects of the conclusions are robust with respect to the choice of modelling methodology, and when (and why) important differences may arise.
These conclusions were robust with respect to the choice of oxygen uptake at which we ran the model.
To confirm that our conclusions are robust with respect to the choice of normalization procedure, in both cases, we also tried a variety of other normalization schemes, including correcting for %GC content as in Risso et al. (2011), none of which had a substantial effect on the final results (Supplementary file 6).
Sensitivity analyses showed that the conclusion was robust.
This figure ensures BSMC is robust with different disturbance levels.
This conclusion is consistent with the robust palmitoylation of LIMK1 in adult rat forebrain homogenates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com