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We used factor analysis for clustering of classic diabetes risk factors.
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Multilevel analysis corrects for clustering of data, when patients are sampled (nested) within GPs.
The sample size calculation was conservatively based on the number of hospitals, rather than hospital admissions, because the analysis accounted for clustering of admissions within hospitals.
Such studies have also rarely used multi-level analysis to account for clustering of outcomes by provider and to determine the proportion of variability attributable to each level of analysis (patient and provider)[ 31].
Neighbor-Joining Cluster analysis was performed for clustering of jam samples depending on FRAP values, TMA and TP content to identify the best methods for blackberry jam processing.
Furthermore, in the analysis, we accounted for clustering of women within midwifery practices.
Such modeling uses a per polyp analysis while accounting for clustering of polyps found in the same patient.
Bivariate and multiple logistic regression analysis with adjustment for clustering of data will be performed to adjust for confounding and determine intervention effect.
Trends over time and effects of urbanisation (3 categories) were assessed by multilevel analysis to control for clustering of observations within general practices.
In a multivariable analysis that accounted for clustering of multiple sessions within the same patient, the odds ratio for hemodynamic instability with SLED was 1.20 (95% CI 0.58-2.47), as compared to CRRT.
Finally, spatial analysis surveys for clusters of high suicide risk within regions.
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