Multilevel modeling for the analysis of longitudinal blood pressure data in the Framingham Heart Study pedigrees

Briollais, Laurent; Tzontcheva, Anjela; Bull, Shelley

doi:10.1186/1471-2156-4-S1-S19

BMC Genomic Data

Table 1 Estimates of multilevel model fixed effects and random effects variances (± SE) in the selected and unselected samples with or without adjustment for BMI

From: Multilevel modeling for the analysis of longitudinal blood pressure data in the Framingham Heart Study pedigrees

	Unselected Sample		Selected Sample
	Adjusted (1a)	Unadjusted (1b)	Adjusted (2a)	Unadjusted (2b)
*Fixed effects estimates*
Intercept	132.46 (0.56)***	132.00 (0.57)***	131.16 (0.58)***	131.80 (0.59)***
Age effect^A	0.60 (0.02)***	0.63 (0.02)***	0.61 (0.02)***	0.63 (0.02)***
Age² effect^A	0.013 (0.001)***	0.010 (0.001)***	0.014 (0.001)***	0.001 (0.001)***
BMI effect^A	1.45 (0.05)***	-	1.4 (0.05)***	-
Treat effect	-2.13 (0.42)***	-1.45 (0.43)***	-2.2 (0.43)***	-1.52 (0.44)***
Age * Treatment effect	-0.35 (0.04)***	-0.34 (0.04)***	-0.34 (0.04)***	-0.34 (0.04)***
Subject random intercept model
Mean age effect^A	0.53 (0.03)***	0.65 (0.03)***	0.62 (0.04)***	0.72 (0.04)***
Mean BMI effect^A	1.16 (0.06)***	-	1.21 (0.07)***	-
Cohort effect	-6.56 (0.67)***	-5.21 (0.70)***	-5.74 (0.71)***	-4.68 (0.74)***
Gender effect	2.27 (0.51)***	3.59 (0.53)***	1.71 (0.53)***	3.09 (0.56)***
Subject random slope model
Mean BMI effect^A	-0.014 (0.003)***	-	-0.015 (0.003)***	-
Cohort effect	-0.46 (0.03)***	-0.29 (0.03)***	-0.42 (0.03)***	-0.27 (0.03)***
Gender effect	-0.03 (0.03)	-0.07 (0.03)*	-0.04 (0.03)	-0.08 (0.03)**
*Covariance Parameter Estimates*
Measurement error variance	140.85 (1.64)***	148.11 (1.73)***	141.80 (1.68)***	149.01 (1.77)***
AR(1) correlation	0.25 (0.01)***	0.26 (0.01)***	0.25 (0.01)***	0.26 (0.01)***
Subject level var(u_0jk)	146.25 (5.01)***	161.79 (5.49)***	147.63 (5.30)***	164.31 (5.84)***
var(u_1jk)	0.17 (0.01)***	0.20 (0.01)***	0.17 (0.01)***	0.20 (0.01)***
cov(u_0jk, u_1jk)	1.41 (0.19)***	0.85 (0.21)***	1.42 (0.20)***	0.86 (0.22)***
Pedigree level var(v_00k)	27.59 (4.17)***	24.41 (4.07)***	27.04 (4.31)***	23.22 (4.13)***
var(v_01k)	0.008 (0.005)*	0.005 (0.005)	0.009 (0.005)*	0.006 (0.005)
cov(v_00k, v_01k)	0.52 (0.12)***	0.37 (0.11)**	0.49 (0.12)***	0.37 (0.12)**
-2 REML	202,695.75	205,876.11	194,947.18	198,006.24

^AVariables centered * p < 0.05 ** p < 0.01 *** p < 0.001

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