Such an assessment can be achieved by implementing validation methods employing design-based inference in which the independent reference data are selected via a probability sampling design.
This paper summarizes a "Plan, Do, Say" approach to validation that can be incorporated into statistical training so that biostatisticians can understand and implement validation principles in their research.
Within OpenTox we have also implemented basic validation routines, simple validation (with supplied test set or training/test split), cross-validation routines (including leave-one-out), as well as making initial reporting routines available.
An iterative algorithm is developed and implemented and validation results are provided through computer simulation studies.
We designed and implemented a validation strategy in accordance with principles and guidelines developed by the Next-Generation Sequencing: Standardization of Clinical Testing work group using artificial, cell-free DNA (cfDNA) with mutant fragments prepared in a simple, rapid, and cost-effective manner.
For that purpose, we used Google's Public DNS Service, which has implemented DNSSEC validation by default since May 2013 [30].
The validation set of 738 compounds was provided by the CAESAR project partner (Istituto di Ricerche Farmacologiche "Mario Negri" (IRFMN), Milano, Italy) and implemented for validation of models.
About 75% of experimental data are implemented for validation of correlation, and the remains and non-repetitive data are chosen to test the new correlation.
To complement this analysis, we implemented secondary validation of MS/MS spectra associated with local single peptide hits using de novo peptide sequencing followed by MS-driven BLAST searching [30].
Moreover, we implemented rigorous validation steps that included randomized network searches and comparison with similar datasets from other complex diseases.
