Sentence examples for backward cox regression analysis from inspiring English sources

To choose an appropriate subset of genes for association to any clinical variable (histology, stage and grade), we performed a forward and backward Cox regression analysis.

Finally, we performed stepwise (backward) cox regression analysis for PON1-activity, PON1-genotype as well as PON1-activity adjusted for PON1-genotype to predict the best model for risk of CAD.

Multivariate analysis by backward stepwise Cox regression analysis was then performed to explore the combined effect of these variables on survival (Cox and Oakes, 1984) This study examined 187 high grade gliomas.

All variables with a p value < 0.20 were included into a backward-stepwise Cox regression analysis.

In the backward selection of multivariate Cox regression analysis the extent of inflammation as reflected by IL-6 plasma levels and the fentanyl dosage remained as independent risk factors for the development of impaired muscle membrane excitability.

To control for possible confounding factors, a multivariate Cox regression analysis (backward stepwise approach) was performed to analyze factors that were significant in univariate models (P < 0.05) and met the assumptions of a proportional hazards model.

We subsequently performed a multivariate Cox regression analysis with backward elimination.

We performed multivariate Cox regression analysis with backward selection to estimate the adjusted HR for mortality of all-cause and MAC-LD disease progression.

A Cox regression analysis using backward conditional regression was done using the number of days between the detection of the ESBL and either death or survival up to the first of June 2009 was counted.

A multivariate Cox regression analysis using backward elimination of factors, with the first step including all factors identified in the univariate analyses, was then performed to assess the impact of independent prognostic factors on the treatment effect at a significance level of 5%.

All variables with biologic plausibility or p <0.15 in the univariate analysis were considered in the multivariable Cox regression analysis by using backward stepwise selection.