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Although the scale effect of the modifiable area unit problem is generally well known, this study suggests digital soil mapping efforts would be enhanced by the greater consideration of predictor variables at multiple analysis scales.
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In general this decision is empirically driven and includes a consideration of which predictor variables are modifiable.
Statistical sensitivity to regions that support a specific ability requires simultaneous consideration of orthogonal predictors, and this was achieved using rotated PCA factor scores.
Variables chosen for the univariate and multivariate analyses were based on a priori consideration of most plausible predictors for time to publication.
To reduce the number of predictor variables for consideration in the multivariable models, significance for the univariable screening of variables was set at P < 0.1 [ 23].
38 39 Integrating research to understand the role of comorbidity in QoL is challenging due to differences across studies in QoL conceptualisation, validity of QoL measurement, recruitment context (eg, epidemiological, treatment-seeking) and consideration of sociodemographic and clinical predictors.
Heterogeneity between study results was explored through consideration of study populations, study design, predictor variables assessed and outcomes chosen, although the small number of studies in each category limited this approach.
In the first six cases, the consideration of the gene alone as predictor of glioblastoma survival as standard in previous reports resulted in non-significant associations, in this study.
Predictors were evaluated on considerations of utility as predictors, availability, cost and resource-related applicability.
Traditionally, the need for chemotherapy was decided based on tumour clinico-pathological prognostic indicators, with factors such as age [22], tumour size, nodal status, grade and receptor expression profiles taken into consideration as predictors of recurrence risk [23,24].
Strengths of our study include the use of population based health administrative data to assemble a large sample of first time recipients of total hip arthroplasty and consideration of patient, hospital, and surgeon predictors of complications after the procedure.
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