Univariate Associations
death, NDI
REGRESSION
To reduce the skewness and influence of outliers, we log2-transformed and 95% winsorized the biomarker concentrations. Due to the very small amount of missing data in each biomarker, we used a complete case analysis. The primary outcome was a composite outcome of death or NDI at 2 years of age. We tested associations between each biomarker from each of the 3 time points with the primary outcome using a generalized linear model with log link regression with robust standard errors and adjusted for baseline HIE severity, treatment assignment, and site. Associations were quantified using relative risk (RR) and 95% CIs; the RR represents the change in risk of death or NDI associated with a doubling in the biomarker concentration. We defined statistical significance as 