Neither Cox nor Weibull model in both univariate and multivariate analysis show any evidence about significant differences in gender and family history of cancer.
In subsequent analysis, we present not only descriptive evidence on how multiple job holding differs among various worker groups but also multivariate analysis providing evidence on how worker, job, and location attributes are associated with holding multiple jobs.
Multivariate analysis provided evidence that anti-HEV IgG prevalence increases by 4% per year of participants' age (95% CI 1% to 7%, p=0.002).
Multivariate analysis identified evidence of tumour origin from MALT as the only factor to attain prognostic significance in patients with gastric involvement, and clinical stage and the presence of MHI as the only factors to attain prognostic significance in patients with intestinal involvement.
Given the dependency of the clinical/therapeutic factors on the relationship with EGFR and Beclin1 expression (Table 1), the multivariate analysis of survival factors evidenced that H-EGFR (HR: 2.21; 95% CI: 1.404 3.481; P = 0.001), L-Beclin1 (HR: 1,898; 95% CI: 1.244 2.896; P = 0.003), and B-STR (HR: 3,119; CI: 1.711 5.669; P = 0.0001) were independently associated with a shorter survival.
Multivariate analysis provided additional evidence that higher E2F1 expression proved to be an independent and adverse prognosis factor in SCLC (HR = 0.461, 95% CI: 0.230 0.925, P = 0.029) (Additional file 3: Table S2).
24 Secondary analysis Per protocol bivariate and then multivariate analysis evaluated impact (evidence of recent dengue virus infection in the household) of living in intervention sites in the context of other factors that might influence infection, mostly household responses to an administered questionnaire.
Univariate and multivariate analysis did not provide evidence that survival for patient subgroups defined by the median SUV(max) were significantly different (univariate P =.11; multivariate P =.45).
In line with this evidence, multivariate analysis in our study showed a significant unfavorable association of increased ERCC1 expression with both PFS and OS.
The consistent significance of the variables related to signs suggestive of disease in the multivariate analysis model provides further evidence for the use of the ML Flow test to identify individuals at the greatest risk of developing leprosy, especially among the household contacts of leprosy cases [ 6, 32].
