The assay development team should propose a plan of how to validate the clinical trial assay in the CLIA lab to the rest of the team for its input and feedback and to ensure alignment on the project specifics (sample type, collection method and any unique aspects of the biomarker).
Because the intention was to validate the model with trial data, we assumed that all children who had symptomatic infections and who reported to trial staff were treated.
We also used the trackers to validate the model against trial observations 2 and general evidence for the biological process, mortality rates, and age of death (web appendix).
This study shows, once again, that the direct implementation in the field of results obtained in vitro (without complementary experiments on-site to validate the in vitro trials) can lead to significant divergences in results, given the differences in factors and conditions existing between laboratory and the natural conditions.
Table 5 shows that the observed reductions in CHD events and stroke in the trials are similar to the predicted values, so the trial results validate the estimates.
A sensitivity analysis was done to validate the results by excluding the trial conducted in a non-ICU setting.
To validate the guidelines, a clinical trial was designed with clinic sites randomly assigned to either nutrition practice guidelines care (12 sites) or usual nutrition care (13 sites), with diabetes, obstetric, and other clinic types represented in both groups.
We validate the method on a trial dataset in which both external causes and injury diagnoses are known and demonstrate application to two problems: redistribution of cases classified to ill-defined external causes in one hospital data system; and, estimation of external causes in another hospital data system that only records nature of injuries.
We used the numbers of predicted key events to validate the model against external trial observations.
Large multisite randomized trials are needed to validate the findings of both pharmacogenetic trials by Johnson and colleagues (2011 and 2013).
