Exact(1)
Moreover, when we adjusted for RIFLE criteria, an increase of our estimations occurred in the multivariate model; so misclassification of this covariate would most likely bias the odds ratios toward the null value.
Similar(59)
Parameter estimates changed by <10% when controlling for the Charlson index in multivariate models, so it was excluded from additional analyses.
Correlations were calculated with Spearman rank R. The remaining factors (P < 0.05) in the univariate analysis were entered into a multivariate linear regression model, so multivariate analysis were secondly performed to analyze significant determinants associated with SQOL disturbance using the SQOL score as dependent factors.
Thereafter, we performed a logistic regression to determine predictive factors for enthesitis in AS patients; firstly univariate logistic regression were done, and the remaining factors (P < 0.05) were entered into a final global multivariate logistic regression model, so multivariate analysis were secondly performed.
While there did appear to be a general increase in the planned use of adjuvant RT with decreasing excision margin width for tumours where the excision margins were greater than 1 mm, this factor was not significant in the multivariate modelling and so did not independently predict whether adjuvant RT was planned.
The group effects with or without gender in the multivariate model were nearly identical, so gender is not a confounder in this study.
Age and diagnoses should also be recorded, so a multivariate model can be used to increase that number further.
Hence, the most adequate approach to define the multivariate model would be independent from the former, so disregarded variables could also be considered to complete the multivariate model.
In the case of sepsis, the variable "state" modified most bivariate measured associations, so we developed a separate multivariate model for Bauchi and Cross River.
These effects were similar for IBR and CBC cases and so both groups were included in the final multivariate model.
Indeed, missing data issues restricted our ability to consider all classes of factors in one multivariate model because the sample size was substantially reduced when we did so.
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