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This highlights the importance of understanding co-morbidity measures and using them appropriately in studies and case-mix adjustments analyses.
Changes were evaluated using paired (within group) or independent sample (between group) t tests for continuous measures and using Chi square test of proportions for categorical variables.
Specifically, shared method variance and perceptual bias may have inflated the phenotypic correlations between measures and using other/multiple informants may have resulted in different patterns of findings.
These cross-sectional findings await confirmation in future work employing longitudinal outcome measures and using more sophisticated approaches to estimating exposure.
These include using ANOVA to model the differences in DR summary measures, and using MANOVA to model the differences between response vectors jointly.
Changes in means and p-values were determined from paired t-tests for anthropometric and Actical measures and using regression for sleep measures.
Similar(46)
We have seen them adopt security measures and use higher standards of equipment.
Link scores are received using various similarity measures and used to predict weights.
The company may decide to take corrective measures, and use our approach to monitor any changes.
We assumed equal variances for continuous measures, and used the chi-square test for discrete measures.
Know the difference between liquid and dry measures, and use the appropriate one for each task.
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