Sentence examples for characteristics in multivariate analysis from inspiring English sources
This predictive role was also maintained after adjustment for disease stage, treatment, menopausal status, and several tumour characteristics in multivariate analysis.
Also of note is that the ACS group in our study population was too small to evaluate other predictive factors for the diagnosis of ACS, including aspects of the patient's history and pain characteristics in multivariate analysis.
However, after adjustment for the demographic factors and tumour characteristics in multivariate analysis, patients receiving chemotherapy showed a significantly longer survival time (HR=0.838, 95% CI 0.709 to 0.991).
CI = confidence interval; OR = odd ratio,* dropped: predicts failure perfectly Mean time to diagnosis (i.e. time elapsed between first symptoms recalled by the patient and beginning of treatment) was 2.1 ± 3.1 months (range: 0-12, Figure 2) without any statistical difference between the different groups in terms of socio-demographic and clinical characteristics in multivariate analysis.
However, no clinical variables or microbiological characteristics were found in this study in multivariate analysis to be independent predictors of relapse/reinfection or chronic infection.
No community characteristics were significantly linked to travel time in multivariate analysis.
However, the possible confounding effects of variation in tumour characteristics on management were not adjusted for in multivariate analysis.
In multivariate analysis, once adjusted for the previous HH characteristics, neighbourhood socioeconomic status was no longer significantly associated with FI.
In multivariate analysis, overall obesity was not associated with SES characteristics (data not shown).
In multivariate analysis, there was a statistically significant relationship between characteristics and opinions of the respondents.
Nevertheless, even though age and some ICU characteristics are related to burnout in univariate analysis, the same does not apply in multivariate analysis (Table 6).
