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Variables significant by univariate analysis at p < 0.05 were candidates for multivariate analysis.
Candidate variables for multivariate analysis included all variables found to be significantly different by univariate analysis at p < 0.05.
Among three SNPs from multivariate analysis, SNP rs4084097 was also associated with hypertension by univariate analysis at time 1.
Several factors were significantly associated with ICU-acquired infection by univariate analysis at ICU-admission and during ICU stay (Tables 1 and 2).
Because study groups were formed on the basis of individuals' serum Cp values (high-Cp and low-Cp), data were first assessed by univariate analysis at the beginning and end of the supplementation period to determine whether groups formed by individuals' Cp values were significantly different.
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By univariate analysis, RVEF at rest, RVEF during exercise, HR and FVC% of predicted were associated with significant risk of death (table 4).
By univariate analysis, although patients treated at high volume centers (HVC) were significantly younger, they benefited from an improved short-term (30-day and/or 90-day) survival for cervical, ovarian and endometrial cancers.
Risk factors for death in this population identified by univariate analysis were HIV RNA concentration at baseline and at follow-up October 2000, nadir and most recent CD4 lymphocyte number, not receiving cARV as initial treatment, total number of ARV agents and number of changes in ARV per year, developing AIDS and being hospitalised during follow-up.
For cervical and ovarian cancer, five-year survival rates by univariate analysis were significantly greater for patients treated at TFs compared to those treated at NTFs (63.9% versus 60.9% and 43.9% versus 38.8%; p<0.01, respectively).
As compared to both other groups, PP sessions with significant increase in cardiac index had the following significant differences at T1 by univariate analysis: lower cardiac index, lower global end-diastolic volume, lower cardiac function index, and lower vasopressor dose.
Lastly, increasing CD4+ T-cell count at pregnancy appeared to reduce the risk of detectable HIV RNA at delivery by univariate analysis (RR = 0.91 per 50 cells/mm; p = 0.037).
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by gravimetric analysis at
by transcriptional analysis at
by mathematical analysis at
by tumour analysis at
by microsatellite analysis at
by molecular analysis at
by Blast analysis at
by univariate regression at
by numerical analysis at
by pathological analysis at
by quantitative analysis at
by stereological analysis at
by cytogenetic analysis at
by densitometric analysis at
by spectrophotometric analysis at
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