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Table S10: Association of hemoglobin with LVMI by linear regression among incident hemodialysis participants.

Table S4: Independent associations of pulse pressures, arterial, and volume measures with LVMI by linear regression among incident hemodialysis participants.

Table S5: Association of preload and afterload measures with LVMI by linear regression among incident hemodialysis participants stratified by ethnicity.

Table S6: Association of preload and afterload measures with LVMI by linear regression among incidenthemodialysis participants stratified by 3 month average IDWG groups.

Table S1: Independent associations of predialysis blood pressure, arterial, and volume measures with LVMI by linear regression among incident hemodialysis participants.

Table S7: Association of preload and afterload measures with LVMI by linear regression among incident hemodialysis participants stratified by β-blocker medication.

By linear regression, 72% prevalence among 9 12 year olds by POC-CCA corresponded to 50% prevalence by Kato-Katz, whereas 46% POC-CCA prevalence corresponded to 10% Kato-Katz prevalence.

The associations between DNA repair genetic polymorphisms and adduct levels were evaluated by multiple linear regression among 465 patients (Table 2).

These variables were tested by linear regression analysis to evaluate multicollinearity among the predictors.

Analysis of DNA methylation differences between newborn boys and girls was performed by linear regression for 450 K BeadChip CpGs among subjects with DCC measurements (n = 111; 58 girls and 53 boys), adjusting for cell composition and batch (Table  1).

Differences among provenances are displayed by linear regression and significances were estimated using the corresponding linear model followed by Tukey's multiple comparison test of least-squares means.