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The results showed a better level of fitting for the automatic method, while the shift of the hip joint centre was lower for the anatomical referencing technique.
Analytical methods are the tools that generate data are used to make fundamental development decisions, and validation demonstrates that methods are fit for this purpose.
Although all of the techniques applied appear to be fit for purpose, the method needs further testing by different groups and for different questions and health behaviours.
Figure 9 Nonlinear regression fitting for resampled θ using bootstrap method (only the first 5 simulations are shown).
Archival materials in our study are not fit for those traditional methods.
Figure 6 Nonlinear regression fitting for resampled θ using Monte Carlo method (only the first 5 simulations are shown).
A more fit-for-purpose method is needed that incorporates pharmacological principles.
In order to evaluate the homogeneity and stability of the three resulting materials, a fit-for-purpose method for the determination of the 15 + 1 EU PAHs has been validated in-house.
First, a traditional interval mapping approach was applied to the transformed data to fit the normal distribution required for this method.
Fit-for-purpose biomarker method validation defines 5 categories of assay based on readout ranging from absolute quantitation to a nominal positive/negative result [ 13, 14, 24, 25].
To avoid duplication, the most fit-for-purpose methods have to be selected minding cultural, ethical, technical, social, and the other features both in the community and in the project.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com