Modelling analyses
REGRESSION
Linear regression analyses are presented for unadjusted and adjusted associations between Se biomarkers and growth outcomes in 
Linear and longitudinal regression analyses for associations between Se biomarkers and growth outcomes(95 % confidence intervals)WBSe, whole blood selenium; SEPP1, selenoprotein P; LAZ, length-for-age z-score; WAZ, weight-for-age z-score; WFL, weight-for-length; HCAZ, head circumference for age z-score; CRP, C-reactive protein.WBSe scaled to represent the change in anthropometric outcome for every 10 µg/l increase in WBSe. Serum Se scaled to represent the change in anthropometric outcome for every 10 µg/l increase in serum Models adjusted for infant sex, gestational age at birth, season of birth, maternal age, maternal education, maternal height, maternal BMI, gravidity, vitamin D treatment group, delivery CRP, asset index quintiles, daily protein intake (kg), smoking and tobacco use during pregnancy.No multi-collinearity problem was detected in models – assessment was conducted after generating directed acyclic graphs based on conceptual frameworks developed Longitudinal analysis only conducted where unadjusted linear regression associations were significant for at least two of three age points.