Baseline data will be compared with control for the comparability of randomised groups.
Nominal scale data will be compared by Chi-square test or by a 95% confidence interval when comparative measures.
Baseline demographic data will be compared (independent Student t-tests and Chi-squared tests) across groups to establish the comparability of covariables.
From that point the biochemical data will be compared with the person's lifestyle, age, habits and other physical factors to create a detailed picture of what a healthy person looks like on the inside and out.
Experimental and calculated data will be compared.
This data will be compared to the results of a PIC model of the experiment.
Furthermore, the data will be compared with the solubility measurements by 'passive dosing'.
Anonymous data will be compared with social housing residents in other parts of Wales to analyse how home improvements affect health.
The measured scintillation data will be compared with nine tropospheric scintillation prediction models: the Karasawa, ITU-R, Otung, DPSP, STH2, STN2, Ortgies-N, Ortgies-T, and Van de Kamp models (Table 2).
Long-term variation of geomagnetic activity, represented by the Dst data, will be compared with the SSN data, provided by the WDC-SILSO, and the NASA/OMNI solar wind data (http://omniweb.gsfc.nasa.gov).
Her data will be compared with data from patients in India and Sudan to determine whether the same genes contribute to susceptibility to the disease in all three places.
