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By exploring change in coding practice over time and measuring associations between failure to rescue and factors including staffing, we assess whether two measures of failure to rescue are useful nurse sensitive indicators.
Bivariate correlations measuring associations between MsgC1 antibodies and clinical variables at initial visit, and the auto-correlation between MsgC1 antibody responses on the same patient were calculated.
Spearman correlation coefficients were obtained by measuring associations between ELISA and CD4 and viral counts in HIV patients.
However, their retrospective case series did not include a control group; therefore, measuring associations between particular contact lens products and AK was not possible for those case-patients.
Our work extends the approach of Dreszer et al. (2007) and provides a more rigorous statistical framework for measuring associations between substitution type and density.
Using case-control data from this study (258 cases and 686 controls), we developed an exploratory approach for measuring associations between residential location and breast cancer incidence, adjusting for individual-level risk factors.
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The parameter of interest was the odds ratio measuring association between genotype and phenotype.
cF-statistic and P-values from ANOVA measuring association between smoking status and methylation adjusted for ethnic group.
Table 2 shows the Spearman correlation coefficient estimate measuring association between select clinical factors and baseline biomarkers.
cF-statistic and P-values from ANOVA measuring association between smoking status and methylation in the ethnic sub-group.
This makes rLWS suitable also within the MRMR criterion for measuring association between a binary vector of labels (group membership) and a continuous data vector for K = 2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com