This finding was robust to adjustment for baseline imbalance, imputation of missing data, and adjustment for clustering.
However, since ORs were robust to adjustment for all covariates in the multivariate models, further adjustment for socio-economic status would likely not impact the current results.
PM10 associations were robust to adjustment for NO2; NO2 associations remained for nonaccidental mortality and lung cancer mortality after adjustment for PM10.
Our findings were robust to adjustment for current weight and maternal socioeconomic status and smoking, increasing the likelihood that they represent the direct effect of altered neurodevelopment.
This, together with the fact that the association was robust to adjustment for CRP, suggests a role for iron overload in the pathogenesis of diabetes.
These results were robust to adjustment for confounders.
This association was robust to adjustment for concentrations of PM2.5.
This association was robust to adjustment for demographic, SES and lifestyle factors.
These findings were robust to adjustment for conventional CVD risk factors and prevalent CVD.
Our findings were, however, robust to adjustment, including anxiety and depression, and merit further study.
The results were substantially robust to adjustment for confounding and model specification.
