The questionnaire takes 30-40 min to complete, incorporates several validated questionnaires and some study specific questions including demographic and lifestyle characteristics that aims to evaluate diet, physical activity, motivational circumstances to be physically active, overall health and well-being and problem areas in diabetes.
One final consideration is the small number of studies which robustly control for uncertainty, with only the four most recently completed incorporating statistically robust techniques.
The complete FIM incorporating all the multipath time delays and the direct path is given by F ( x t ) = 1 σ 1 2 ∂ τ 1 ∂ x t 1 ∂ τ 1 ∂ x t 1 T + ∑ k = 1 3 G k ⊙ ∂ τ k ∂ x t 1 × G k ⊙ ∂ τ k ∂ x t 1 T. (11).
Missing values were computed using multiple imputation with 25 complete datasets incorporating baseline covariates and crash outcomes.
Model 1 (complete cohort, incorporating the number of identified comorbidities, see online supplementary table I) analysed the complete cohort and showed an adjusted HR for death of 0.673 955% CI 0.595 to 0.761, p<0.001) for people of South Asian ethnicity and 0.592 955% CI 0.504 to 0.696, p<0.001) for people of black ethnicity compared to people of white ethnicity.
One complete cycle incorporates three molecules of carbon dioxide and produces one molecule of the three-carbon compound glyceraldehyde-3-phosphate (Gal3P).
The complete system incorporates fully integrated control, acquisition and processing software, which makes it convenient for on-site use.
The ALE formulation is completed by incorporating an implicit time-averaged normals form of the geometric conservation law for cylindrically and spherically symmetric time-dependent finite volumes which is valid for any two-level time-integration method.
The complete model incorporates the SVM output as an additional continuous variable.
Multiple imputation (MI), where each missing value is replaced with a set of m (>1) independent values [ 7] to give m separate complete datasets, incorporates uncertainty of the missing data that cannot be achieved with single imputation (m = 1).
