Literature and outcome data are reviewed with respect to three categories: language, social skills, and self‐management.
In this paper some new tools for exploring directional data are reviewed, with special emphasis on non-parametric smoothers and regression models.
Missing data were reviewed with source data verification.
Once records are returned, data are reviewed with families to ensure completeness and clarify durations and intensities of activities.
Demographic data, medical history, clinical presentation at admission, radiological and microbiological data was reviewed along with the clinical course, treatment and outcome.
Following the preliminary analysis, the original coding of the data was reviewed to find questions with wording that reversed their direction in respect to the other questions, which could jeopardize parameter estimation and model fit.
Performance data was reviewed frequently and openly with staff both internally e.g. during weekly store management (ASDA) or monthly production team (MINI) meetings, and during routine visits by regional or national managers.
Patients did not voice any concerns that their data was reviewed only on a weekly basis, with a respiratory research nurse using the messaging facility as appropriate, and continued to interact with their usual healthcare professionals as required.
Three times per week, data were reviewed again with a computational supervisor to detect missing data and errors and to correct them whenever possible.
Significant advances in the knowledge base have been made recently, as part of the R&D supporting the engineering design activities (EDA) of ITER, and some of the most relevant data are reviewed here together with areas where further R&D work is urgently needed.
