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Multivariate analyses identified risk factors associated with survival rates for all World Health Organization (WHO) types.
A number of studies with multivariate analyses identified poor performance status, liver metastases, and abnormal serum lactic dehydrogenase (LDH) levels as the main recurrent adverse prognostic factors.
Bivariate and multivariate analyses identified a large number of case characteristics associated with higher probability of reporting to CPS/police or of referral to community welfare services.
Both univariate and multivariate analyses identified stage (p<0.0001) and LEF1 overexpression (p<0.05) as important prognostic markers, but not tumor grade or SPP1.
In addition, multivariate analyses identified TRAIL-γ as an independent prognostic marker.
Univariate and multivariate analyses identified both ER status and maxSUV as independent prognostic factors.
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Figure 2 presents the results of the univariate and multivariate analyses identifying the determinants of live birth (vs. stillbirth), and the data are also shown in Additional file 1, table S2.
30 ANOVA and multivariate regression analyses identified independent variables with a significant association with patient safety culture.
Multivariate regression analyses identified several factors that might have influenced case-management quality, many outside a manager's direct control.
Moreover, multivariate survival analyses identified nuclear NHERF1 as an independent prognostic variable for DFS in this cohort of invasive breast cancer patients.
Multivariate survival analyses identified SIRT1 as independent prognostic factor for relapse-free survival (RFS) with a hazard ratio (HR) of 1.34 (95% CI = 1.04-1.74, p = 0.02).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com