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Two approaches were employed where the five-point Likert scale was used; cluster adjusted mean scores were generated for choices available; and where appropriate, options on the scale were collapsed to give a proportion adjusted for clustering.
These indices were calculated using 2×2 tables based on the cumulative incidence rate at 72 months for the different baseline test combinations, weighted by the proportion (adjusted for heterogeneity) of each of these subgroups at baseline.
Segmented time-series analysis was applied to monthly ACEIs prescription proportion, adjusted number of ACEIs/ARBs prescriptions and costs.
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Results from both analyses were transformed to generate proportions adjusted for age and socioeconomic deprivation.
Results of effect modification by species-to-mass proportions, adjusted for temperature, are shown in Table 4.
Multivariate linear regression analysis was used to compare B-cell subset proportions adjusted for age, sex and steroid dose.
Typically, the numerator and denominator of the response proportion were adjusted to reflect such factors.
aPPRs, prevalence proportion ratios adjusted for all the variables included in the model.
Therefore, PHN proportion was adjusted in the model in order to be derived only from painful HZ states, while still retaining the overall PHN proportion level obtained from the database analysis [ 11].
Each library in the simulated data was assigned a genotype, with a probability proportional to the number of libraries of that genotype in the real data (this proportion was adjusted as each simulated library was assigned a genotype).
Furthermore, concentrate proportions were adjusted to provoke ketosis.
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