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The functional relationships between CIT and initial organ function and patient and graft survival were explored through regression analysis of the subgroup data.
A number of possible factors that might be related to survival were explored.
Drug retention was examined using survival analysis, and differences in drug survival were explored with a Cox proportional hazard model.
The inter-relationships between TFPI and TF tagSNPs, tumor mRNA expression and plasma levels, and their association with breast cancer subtypes and survival were explored in either 152 treatment naive breast cancer patients or a merged 1881-sample breastumoror data set.
The relationships between clinicopathological features, treatment and both cancer-specific and overall survival were explored by multivariate proportional hazards analyses and results shown in Table 2. Increasing age (p = 0.018) and involved numbers of lymph nodes (p < 0.001) were associated with poorer cancer specific survival in univariate analysis.
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For continuous variables, potential non-linearity in the prediction of survival was explored.
The association of natriuretic peptides and survival was explored in a series of ROC curves (Fig. 4).
The correlation of RAD21 gene expression to 10-year relapse-free survival was explored in a validation cohort of 215 breast cancer patients, with tumors previously characterized on the Illumina Human RefSeq-8 microarray, by Buffa et al. [ 23].
In addition, the relation between HJURP expression and survival was explored in microarray data sets by dividing the cases from each cohort into a group with high (top one-third), moderate (middle one-third), and low (bottom one-third) level of expression.
Associations with cancer-specific survival (CSS) were explored by Cox proportional hazards regression, unadjusted and adjusted for age, TNM stage, differentiation grade, vascular invasion and microsatellite instability (MSI) status.
Correlations between clinicopathological characteristics and survival of HCC patients were explored.
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CEO of Professional Science Editing for Scientists @ prosciediting.com