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The multivariate model retained the monthly dummy variables and offset.
The final multivariate model retained all MSKCC factors; only markers of systemic inflammation with P<0.05 were retained.
The latter study reported that the final multivariate model retained inflammatory breast cancer as the only factor predicting overall survival, with a hazard ratio of 1.37 (95% CI = 1.02-1.84).
The best multivariate model retained the two following factors: social support (OR=1.290, 95% CI, 1.112 1.497) and desire for more information on the impact of disease and therapy on QoL (OR=0.446, 95% CI, 0.292 0.682).
The multivariate model retained as independent variables associated with infection by a MDR organism: the presence of diabetes mellitus (adjusted OR = 4.1,95% CI: 1.4 to 12.6) and the need for assistance in daily activities (KPS <70%, adjusted OR = 3.6, 95% CI: 1.3 to 9.7).
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Only survey variables which remained significant in the multivariate model were retained.
For all outcomes, sociodemographic variables with a P-value<0.2 in the bivariate analyses were entered into the multivariate model, then retained in the final model if P<0.05.
Risk ratios with a p-value of < 0.05 were entered into a multivariate model and retained if the adjusted risk ratio had a p-value of < 0.05.
with a P value of <0.05 in the univariate analysis were included in the multivariate model and retained if the P value was <0.05.
Factors associated with GBS by univariate analysis (P < 0.10) were considered eligible for inclusion in a multivariate model and retained in the model according to a forward stepwise procedure based on a likelihood-ratio test.
Confounding was assessed by a multivariate logistic regression approach; all variables with a p-value ≤0.15 in the univariate analysis were included in the multivariate model and retained in the final model according to a log-likelihood-ratio test for goodness-of-fit.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com