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When an antibody needs changing, the assay is no longer validated and the validation procedure will have to be repeated with the new antibody.
We have shown that consistency analyses and the validation procedure of the SGR demonstrate coherence and further steps in guideline development proved applicability and acceptance.
In comparison to adaptation procedures – e.g. the most ambitious approach by Fervers et al [ 35] – our SGR method differs mainly in the systematic consistency analysis and the validation procedure.
Interstitial lung diseases are difficult to diagnose clinically (Raghu et al, 2004) and the validation procedure was hampered by the low proportion of patients undergoing surgical lung biopsy or high-resolution CT scans (Hunninghake et al, 2001; Cleverley et al, 2002).
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In the remainder of this section, we briefly discuss about the basic concept and details of developing the logistic regression model and, finally, the validation procedure and review method for the improvement of this model.
It is often not described if the active antimicrobial agents were neutralized, if the neutralization was validated and if the validation procedure followed the conditions of the efficacy evaluation [ 2].
Importantly, we used the same bioinformatics pipeline in the original analysis and in the validation procedure: that is, the failure to validate most cases of putative superinfection did not arise from the (lack of) sensitivity of the original phylogenetics analysis, but due to erroneous entries (sequence or sample mix-up) in the original database.
With the reasoning capability provided by the MFM syntax and semantics, the validation procedure is illustrated on a three-phase separator system of an MFM model.
More details about the score ranking and all the validation procedure are discussed in a specific section of the additional file 2 (Supplementary_Material) and in the additional file 6.
Database synthesis for system tuning and validation is a critical issue, hence the paper details the considerations guiding its design and generation, as well as the validation procedure ensuring the ecological validity of the innovation process simulation.
The applied probabilistic analysis to SVM output improves the interpretability of the prediction results and the objectivity of the validation procedure.
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