Other investigators, by means of multivariate analysis, observed an association of three variables only – haemodialysis duration, type of dialysis (haemodialysis or ACPD – ambulatory continuous peritoneal dialysis) and blood transfusion background – with HBV infection markers [ 27, 34].
Ulrich et al., by using a multivariate analysis, observed a significant association between lymphocele and diabetes in patients treated with calcineurin inhibitors (CNIs), and found a relative risk to develop lymphocele of 2.069, P < 0.001.
With multivariate analysis, we observed that the return to normal life occupations was influenced by profession (P = 0.01) as white collar patients returned to common life occupations 41 days earlier than blue collar patients (Table 5).
In multivariate analysis, we observed that mortality was independently associated with SAPS II (OR 1.1, 95 % CI [1.013 1.195], p = 0.02) and with the presence of hemorrhagic shock (OR 67.1, 95 % CI [2.6 1691], p = 0.01).
Indeed, applying multivariate analysis we observed a trend towards a significant reduction in CEL number and volume over time in the group with IFN-β comedication, but not in those patients undergoing atorvastatin monotherapy.
A statistically significant and independent association between malocclusion and poorer oral aesthetic self-perception in the multivariate analysis was observed.
In multivariate analysis, we observed significant associations of tumor site, AJCC stage and PLR, but not NLR with OS (Table 3).
In multivariate analysis, we observed mostly collinear relationships among the metagenes, with only single metagenes retaining significance in each proliferation tertile.
Upon multivariate analysis, we observed that low education of the mother and HIV infection in mother were individually associated with EBV infection (OR 1.51, 95% CI 1.11-2.06 and OR 1.86, 95% CI 1.20-2.87, respectively).
In multivariate analysis, we observed an association between ADAMTS13 and creatinine plasma levels (OR = 1.01; P = 0.05), among D-DI and creatinine (OR = 1.00; P = 0.03) and TM with creatinine levels (OR = 1.20; P = 0.03) (Table 2(b)).
Applying multivariate analysis, we observed that the variables of polypharmacy (p = 0.0187), psychiatric disorders (p ≤ 0.0001), cerebrovascular disease (p = 0.0036) and dependency (p=0.0404) were associated significantly with reports of PIM use.
