. Author manuscript; available in PMC: 2012 Dec 6.

Published in final edited form as: Stat Biosci. 2012 Nov 1;4(2):262–281. doi: 10.1007/s12561-012-9061-x

Table 3.

Analysis results for the ARIC study. The Fisher transformation is used for testing ρ, while 50:50 mixture of χ² distributions is used for testing variances.

Effect

Estimate

Std. Err

p-value

Estimate

Std. Err

p-value

Full Model

Reduced Model

Longitudinal measures of SBP

Intercept

1.026

.062

< .001

1.028

.061

< .001

Age

0.338

.044

< .001

0.336

.044

< .001

Male

−0.043

.053

.413

−0.039

.053

.461

Total-cholesterol (mg/dL)

−0.007

.023

.766

−0.007

.023

.772

Hypertension medication

−0.546

.054

< .001

−0.550

.054

< .001

Ever smoker

−0.046

.054

.394

−0.056

.052

.288

Diabetes

0.088

.070

.207

0.089

.070

.200

Visit Year

0.014

.004

.001

0.013

.004

.001

σ_{e}^{2}

0.500

.016

< .001

0.500

.016

< .001

Recurrent CHD event

Age

0.837

.264

.002

0.506

.150

.001

Male

0.871

.220

< .001

0.795

.187

< .001

Total-cholesterol (mg/dL)

0.195

.109

.073

0.184

.071

.009

Hypertension medication

0.191

.234

.414

0.108

.181

.552

Ever smoker

0.862

.309

.005

0.352

.182

.053

Diabetes

1.843

.253

< .001

1.394

.179

< .001

Terminal event

Age

2.187

.405

< .001

Male

0.611

.364

.093

Total-cholesterol (mg/dL)

0.043

.231

.854

Hypertension medication

0.336

.393

.392

Ever smoker

2.336

.653

< .001

Diabetes

2.671

.374

< .001

φ₁

−0.460

.471

.329

φ₂

1.910

.317

< .001

Variance components for random effect

σ_{1}^{2}

0.331

.024

< .001

0.332

.024

< .001

σ_{2}^{2}

3.100

.883

< .001

0.809

.223

< .001

0.241

.086

.007

0.348

.107

.003