These promising data require validation, but demonstrates the potential value of this class of biomarker.
Although our data require validation, caution is needed in vulnerable patients: the risk for the patients must be balanced against the benefit achieved in controlling their underlying disease.
These data require validation and may inform trial design and therapy.
Our data require validation in larger populations involving several hundred patients as part of a multi-centre study.
However, limited effort has been made to show that these entry requirements eventually guarantee successful academic performance in engineering programs because the data required for such validation are not readily available.
In most cases, the TOPDP database also stores the data required for hypothesis validation after the data are generated or collected.
On the other hand, it is difficult to obtain all the data required for model building, validation and simulation, especially for bottom-up approaches that require knowledge at the micro level.
Therefore, the preferred cannabis types and strains listed within each category, and their inferred potential benefits, may be inaccurate based on this inconsistent reporting by some patients, and the validity of the preferred cannabis type and strain data requires prospective validation.
Although the outcome data requires further prospective validation, the retrospective collection of risk factor variables is an essential component of the model design and one of the factors this hypothesis was designed to examine.
Thus, to ensure that web search data reflect disease incidence requires validation against traditional surveillance, although in that situation, the availability of corroborating traditional methods of surveillance limits the value of web-query data.
Estimation are also carried out based on remote sensing data; however, it also requires validation from field.
