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Because multivariate analyses involved five outcomes, we applied a Bonferroni correction by interpreting only effects that reached the P < 0.01 (Pcrit = 0.05/5) level of significance.
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However, in the multivariate analyses involving these three factors, serum albumin (g/dL) (> 3.5 versus ≤ 3.5) was the sole significant factor contributing to overall survival.
However, in the multivariate analyses involving these three factors, the presence of LC was the sole significant factor contributing to recurrence free survival.
CD4 cell count was missing in 29 of 204 cases with HIV co-infection; for multivariate analyses involving CD4 count, missing values were imputed using a multiple imputation strategy [ 12].
Epidemiologists commonly employ multivariate analyses involving multiple environmental pollutants, but have data for only a few pollutant species and usually focus on determining the influence of copollutants on estimates of the effects of the single pollutant (or class, e.g., PM) of chief interest (Samet et al. 2000).
Univariate and multivariate survival analyses involved Cox regression analysis.
Analyses involved multivariate logistic regression.
Statistical analyses involved a multivariate Cox model adjusted for age, sex and exposure to other glucose-lowering drugs.
> -wrap-foot> Table 2 shows the univariate and multivariate linear regression analyses involving all of the above parameters, with serum 25(OH D as a dependent variable.
Multivariate Cox regression analyses involving biological and clinical parameters identified the tumour subvolume having p O 2 values below 5mmHg (HSV (p O 2< 5mmHg) as the only significant, independent prognostic factor for locoregional control, disease-free survival and overall survival.
Creative Bayesian analyses involving informative priors, in multivariate settings and in cases involving covariates, are also notable for their absence.
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