We derived the proportions of positive isolates of Flu A+B and RSV from the total specimens tested, which we then used to assess the effects of influenza and to adjust for the potential confounding effect of RSV in the model.
Finally, to derive the proportion of MRRi attributable to each of the three components (ERRi, CRRi and FRRi) in each group i of people, we first converted the components to their natural logarithms.
We specifically used a linear SMA (LSMA) model and performed a minimum noise fraction (MNF) transformation and pixel purity index (PPI) on Landsat ETM image to derive the proportion of ground cover (vegetation and non-photosynthetic materials) and bare soil within a pixel.
The area under the pain relief versus time curve was dichotomized using validated equations to derive the proportion of patients on rofecoxib 50 mg or placebo with at least 50% pain relief over six hours.
For small values of τ (that is, τ; → 1), nv ≈ np(1 - p)(τ - 1), which can be used to derive the proportion of genetic variance explained by one locus.
The intervention coverage map was then used to derive the proportion of unprotected population calculated as 1 predicted proportion of ITN/LLIN coverage at each pixel, which was then multiplied by the population at that location to generate a grid surface of the distribution of unprotected people.
This continuous prevalence distribution, combined with continuous Relative Risk (RR) functions, is used to derive the proportion of deaths attributable to alcohol consumption (the proportion of deaths that would not be present under a counterfactual scenario where no one consumed alcohol) [ 22, 23].
The area under the pain relief versus time curve over four to six hours was dichotomized using validated equations to derive the proportion of patients with treatment and placebo with at least 50% pain relief over four to six hours and calculate the number-needed-to-treat (NNT).
All models included six covariates specified at three levels: 5-year age group, sex (both at the patient-level), three QOF domain scores (GP-level), and income domain score (area-level), whilst deriving the proportion of unexplained variance at each cluster level.
The success of PA treatment was computed by deriving the proportions of clinical and microbiological eradication across all included studies.
