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When correction for confounding variables is necessary, multivariate regression analyses will be performed.
No significant association was seen between GP IIb/IIIa inhibitor use and either long-term mortality or long-term MACE rates after correction for confounding variables.
However, after correction for confounding variables, the addition of MTH to PCI only improved 24-hour survival but not neurologic outcomes [ 17].
Furthermore, multivariate analysis showed that, after correction for confounding variables, GalNAc-T6 expression remained an independent prognostic indicator of overall survival (P=0.024).
Although we were able to demonstrate significant results, the relatively small patient population prevented correction for confounding variables such as disease severity.
After correction for confounding variables, aggression was associated with decreased gyrification only in the right precentral ROI and right lateral occipital ROI, β = −.13, p =.01 and β = −.10, p =.02, respectively.
Similar(49)
Continuous outcome variables were corrected for confounding variables at baseline.
After appropriate adjustment for confounding variables and Bonferroni correction for multiple comparisons (corrected α-level: p = 0.0014), none of the SNPs was reliably associated with adiposity, insulin sensitivity, or insulin secretion (all p≥0.0117, dominant inheritance model).
After appropriate adjustment for confounding variables and Bonferroni correction for multiple comparisons, none of the tagging SNPs was reliably associated with measures of adiposity.
Few studies controlled for confounding variables.
However, there was no adjustment for confounding variables.
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