Sentence examples for requirement for validation from inspiring English sources
The exclusion criteria were publication in a language other than English, appearance of the word "validation" only in the references, no mention of the validation method for numerical FEA analysis, and mentioning of the requirement for validation without conduction of the actual validation.
As new technologies come into the marketplace, the requirement for validation studies will increase.
The literature is replete with transient indications of biomarker significance, such that the requirement for validation is now the norm.
Corvi et al. (2006) suggested requirements for validation of transcriptomics in regulatory toxicology, but it is unlikely that this validation process will be rapid.
This short response time has proved critical as the types of data provided and requirements for validation have changed over the course of the project.
A priori criteria of consensus for validation for each of the indicators were defined; an average score of 70% or greater agreement by the expert panellists, across all four elements of preventability for each indicator, were deemed to meet requirements for validation of an indicator.
The distributions happen to be broadly similar between the derivation and validation datasets, although this is not a requirement for successful validation.
Wolff and colleagues [ 38] suggest a minimum concordance of 0.95 as a requirement for the validation of a HER2 assay when compared to a validated method, a guideline which was adopted for the current study.
The primary advantages of blood spots include the relative ease and low cost of sample collection, and a disadvantage is the requirement for assay validation prior to analysis.
But Karen Riley, an F.D.A. spokeswoman, said that only a minority of reprocessed devices were exempt from the requirement for extra validation data, because they posed a low safety risk.
The success of the predictions is discussed and the requirement for further validation of the modeling technique using a large statistical sample pointed out.
