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Tables 2 and 3 shows the multiple backward stepwise regression analyses to determine factors independently associated with the EQ-5D dimensions and EQ-VAS.
Separate multivariate backward stepwise regression analyses with further adjustment for cancer-related factors, were also carried out to explore differences in stress levels within the mother and father dyads caring for a child with cancer.
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Stepwise regression analyses based on backward elimination were performed to test the influence of various factors on the vaspin serum concentrations.
Data were then analysed by composite interval mapping (CIM), using model 6, forward and backward stepwise regression, a 10 cM window size and a 2 cM walking speed.
Results from the logistic regression analyses are reported as odds ratios (ORs) with 95% confidence intervals (CIs) from the unadjusted (univariate) models, the fully adjusted model (step 1 in backward stepwise regression), and final model (4th and last step in backward stepwise regression) with p-values from the likelihood ratio test.
Manual backward stepwise regression was used to construct the final model.
Backward stepwise regression was performed, eliminating variables that showed no significant association (p>0.05) with the outcome.
We developed the multivariate model using a backward stepwise regression analysis [23].
Forward and backward stepwise regression was used.
A backward stepwise regression was performed.
Backward stepwise regression revealed that CV (% pred).
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