Sentence examples for relevant validation from inspiring English sources
Information is also provided on the relevant validation parameters for different types of flow cytometry assays to guide the users of this platform.
InterVal is databank-oriented and allows the establishment of the desired experiment plans, an easy data input, the calculation of all relevant validation parameters like the analytical limits CCα and CCβ, precision, recovery, calibration curve(s) and the respective prediction intervals.
The relevant validation parameters such as decision limit CCα (range, 0.24 0.51 μg L− 1) and detection capability CCβ (range, 0.27 0.71 μg L− 1), within-laboratory reproducibility (< 20%) as well as recovery (range, 92 109%) were in agreement with the performance criteria set in the CD 2002/657/EC.
The analysis of the performance of blood culture systems and media in clinical settings represents the most relevant validation test.
However, most of the relevant validation studies for these instruments were carried out for English-language versions [ 1].
Even though a considerable amount of empirical data has been used as a basis for model construction, the amount of available relevant validation data is very modest.
Based on the literature collected from Web of Science and Scopus, we have studied the main robotic devices with a focus on the way they are controlled to deliver assistance; the relevant validations are as well investigated, in particular experimentations with human in the loop.
These studies do not directly compare different case definitions, but may be used for proxy evaluation, similar to the strategy applied by Johnston et al. 24 27 Two authors reviewed all potentially relevant validations studies, and categorised them according to model A, B or C. Any disagreement between review authors at this stage was resolved by reaching consensus in the author group.
Thus, i-pIDtune allows to display both open- and closed-loop responses of the estimated models and important control-relevant validation criteria, what enables the user to readily assess how design variable choices, control performance requirements and model error can impact the achievable closed-loop performance from a restricted complexity model estimated under noisy conditions.
By displaying both open- and closed-loop responses of the estimated models and important control-relevant validation criteria, ITCRI enables the user to readily assess how design variable choices, control performance requirements and model error can impact the achievable closed-loop performance from a restricted complexity model estimated under noisy conditions.
By simultaneously displaying both open- and closed-loop responses of the estimated models and important control-relevant validation criteria, ITCRI enables the user to readily assess how design variable choices and control performance requirements impact model error and ultimately, closed-loop performance.
