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The statistical significance of these measures was determined using permutation testing (n = 1000 permutations).
The relationship of urinary NOx to disease measures was determined using a Spearman correlation coefficient.
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Image luminosity features and similarity measures were determined using the EyeOpen image library for C# [15].
Optimal cutting parameters for each performance measure were obtained; also the relationship between the parameters and the performance measures were determined using multiple linear regression.
In this study, four substitute groups with variable geometric features but constant porosity were scanned using micro-computed tomography (μCT) and their geometric measures were determined using an advanced image-processing algorithm based on fuzzy distance transform and new pore size definition.
Anthropometric measures were determined using standard procedures.
All final assessment measures were determined using last observation carried forward (LOCF).
Correlations between distance measures were determined using Mantel tests and considered significant at P < 0.05 after 9999 randomizations.
Prognostic factors for efficacy outcome measures were determined using a backward stepwise selection procedure, and was carried out separately for OS, PFS and ORR.
Associations between virologic suppression and the different adherence measures were determined using the area under the curve derived from receiver operating characteristic (ROC) analyses, assessed over differing interval durations prior to a VL of 3 to 12 months.
The test retest reliability of each measure was determined using two baseline measurements performed before exercise by an interclass correlation coefficient (R) and coefficient of variation (CV).
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