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All covariates from the multiple regression remained in the final model after stepwise regression, with age explaining 9.72%% of SMWD variation, height 4.45 %, weight 7.94 %, interacting co-medications 1.92 %, rs9923231 30.38 %, rs1057910 8.08 % and rs1799853 3.81%%.
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In multiple regression analysis, HCC remained the only variable associated with HFE-HH genotypes (OR = 5.81, P = 0.018).
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Ten factors were linked to outcome yet in a multiple regression model only two remained predictive.
However, after the multiple regression analysis, only rs7725218 remained independently significant (Table 1).
After correction for the higher age in the ICD group using stepwise multiple regression, all conclusions drawn remained the same.
In a multiple regression model only rs12155555 remained significant; thus, all three SNPs appear to reflect the same association signal.
On multiple regression analysis, fetal leptin remained positively associated with neonatal anthropometry, independent of BMI, neonatal gender total gestational age or study group assignment.
In multiple regression analyses, urinary NAG/Cr remained as a significant risk factor after adjusting for other variables (unstandardized coefficient, 95% CI; -4.5, -8.6 to −0.5, P = 0.03).
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In multiple regression models, only school functioning remained significant in the CLD group.
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