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In multivariate analysis, higher APACHE score, thrombocytopenia, and higher serum SUPAR levels were statistically significantly associated with a higher risk of ICU mortality.
In the multivariate analysis, higher performance status and absence of bulky disease predicted for improved EFS and lower relapse rates, while fewer prior treatment regimens predicted for improved EFS and lower nonrelapse mortality rates.
Using multivariate analysis, higher thresholds of Hb was not associated with ICU mortality (odds ratios: OR [confidence interval: CI] 1.19 [0.76-1.87] and 2.37 [0.75-7.53] for Hb≤11g/dL and Hb>11g/dL groups, respectively, compared with Hb≤9g/dL) or in-hospital mortality (OR 1.11 [0.75-1.66] and 0.94 [0.35-2.56], respectively).
In the post hoc multivariate analysis, higher linear BCI was associated with shorter RFS (p = 0.002).
In multivariate analysis, higher TNM stage and poorly differentiated histology were correlated with worse OS.
In multivariate analysis, higher baseline heart rate predicted better tolerability of target doses, regardless of treatment group.
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Topics of interest include, without being limited to, multivariate analysis, high dimensional statistics and nonparametric statistics; categorical data analysis and latent variable models; reliability, lifetime data analysis and statistics in engineering sciences.
In the multivariate analysis, high TGF-β1 expression was an independent negative prognostic factor for DSS (HR = 1.6, 95% CI = 1.1 2.4, P = 0.019) in addition to tumor depth, malignancy grade, metastasis at diagnosis, surgery and positive resection margins.
In the multivariate analysis, high expression of VEGFR-3 (P = 0.042, HR = 1.907, 95% CI 1.024-3.549) wan an independent significant negative prognostic marker for DSS among patients with wide resection margins.
In multivariate analysis, high risk was the main predictor of recurrence.
In multivariate analysis, high MAP-tau expression was again associated with significantly improved OS.
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