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Multivariate Cox regression analysis was performed for significant variables identified by using univariate analysis.
We investigated associations between clinical findings and survival by using univariate analysis.
Various factors analysed by using univariate analysis are listed in Table 4. T stage (P=0.009) remained the only significant factor on multivariate analysis.
We have attempted to reduce this by using univariate analysis to identify probable predictors, limiting the number of predictors and including these in the multivariate model.
Risk factors for ESBL-producing E. coli were assessed by using univariate analysis with the χ or Fisher exact tests; however, we used analysis of variance to determine whether age had an association with ESBL-producing E. coli.
Table 2 also illustrates the statistically significant risk factors (P < 0.05) for the incidence of chronic pain at 6 months to 1 year after ICU discharge by using univariate analysis.
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Overall survival and time-to-event probabilities were computed using univariate analysis by the Kaplan-Meier method.
Overall survival of these CRC patients and their time-to-event probabilities were computed using univariate analysis by the Kaplan-Meier method.
Differences in physical activity levels and sedentary behavior by household income were initially tested using univariate analysis of variance (ANOVA).
The potential risk factors associated with closing the leak were assessed using univariate analysis, followed by multiple logistic regression analysis, as appropriated.
To assess predictors of IFD, select prespecified clinical data and prophylactic antifungal use were compared between those who experienced an IFD and those who did not, using univariate analysis followed by multivariable logistic regression.
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