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15 Major comorbidity groups at baseline were identified using this database, and the Diabetes Audit and Research Tayside Scotland (DARTS) and Heart disease Evidence-based Audit and Research Tayside Scotland (HEARTS) databases for diabetes and chronic heart disease, respectively.
Antibodies to HSV-2 at baseline were identified using the HerpeSelect 2 ELISA IgG (Focus Diagnostics) and the results were interpreted according to the manufacturers' specifications while all the follow up tests were interpreted using an index cut-off value of 3.5.
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Baseline complications were identified using standard definitions (10).
Gene pathways and functions most closely associated with high baseline variance were identified using annotation classification programs in the Database for Annotation, Visualization and Integrated Discovery [ 11].
Latent class growth analysis (LCGA) was applied to identify classes of HRQoL trajectories, while association between baseline covariate and class membership were identified using polynominals logistic regression.
"True" hotspots were identified using this baseline dataset, as the 500-m segments where the number of road-killed vertebrates exceeded the upper 95% confidence limit of the mean, assuming a Poisson distribution of road-kills per segment.
Genes differentially expressed between two phenotypic classes of interest (e.g., between baseline and post-treatment improver samples) were identified using GenePattern module ComparativeMarkerSelection [ 13].
Factors associated with baseline viral load at least 100 000 and 50 at week 48 were identified using logistic regression models.
Comorbidities were identified using a minimum of two codes during the look-back and baseline years.
26 bodies were identified using DNA tests.
Lipids were identified using internal spectral library.
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CEO of Professional Science Editing for Scientists @ prosciediting.com