Multiple studies have established feasibility for validating implant stability in lab and animal models to justify using resonance frequency analysis in clinical trials [15, 16].
However, further examination of how ITR could be potentially integrated with established methods for validating qualitative research findings, such as member checking, is needed.
The main drawback of computational methods is the largely unknown accuracy of their predictions a drawback that is exacerbated by the lack of an established framework for validating the accuracy of the numerous computational prediction methods that populate the literature.
DNA barcoding the use of short, standardized gene sequences for species identification and discovery has become established as useful for validating species boundaries, conducting routine identifications, and revealing new and cryptic species [17].
Several standard protocols for validating a putative morphant phenotype have been established (for detailed validation methods, see [ 3, 4]).
Finite element models were established for steel beams and validated against experimental results.
Statistically significant models were established for 16 molecules and validated by an external test set of 5 compounds, yielding the best predictive DFT CoMFA model [r2 = 0.960, with 4 components, q2 = 0.707 and SEE = 1.12] and several CoMSIA models for AM1 and ab initio cases [r2 = 0.935 ÷ 0.947, q2 = 0.688 ÷ 0.739 and SEE = 1.32 ÷ 1.46].
However, since there are no other measurable indications for mechanisms in relation to VGE and decompression stress, the measurement of VGE could be established as the standard for validating decompression procedures.
The SF-6D scoring algorithm has been validated and established for the adult Chinese population in Hong Kong in previous studies [ 25, 26].
Besides its use for establishing and validating novel tools for detection and visualization of tumours, PET data are also used for in vivo quantification.
