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Table 3 Comparison of marginal and conditional models: estimated coefficients from the two models for the longitudinal binary hypertension traits

From: Prediction of hypertension based on the genetic analysis of longitudinal phenotypes: a comparison of different modeling approaches for the binary trait of hypertension

 

Marginal model

Conditional model

Variables

Log OR

SE

pvalue

Log OR

SE

pvalue

Intercept

−4.002

1.281

0.0018

−5.012

1.618

-

Age (years)

0.053

0.026

0.0429

0.072

0.032

0.0274

Gender

−1.209

0.811

0.1359

−1.206

0.964

0.2112

Smoke

0.203

0.253

0.4211

0.213

0.315

0.5001

Age × gender

0.036

0.017

0.0331

0.036

0.019

0.0621

Rs10510257(AA)

−1.097

0.574

0.0558

−1.399

0.747

0.0615

Rs10510257(AG)

−0.887

0.286

0.0019

−1.119

0.313

0.0004

Rs1047115 (GT)

0.712

0.431

0.0985

0.903

0.536

0.0925

Random effects

σ(2) for ID

 

1.388

σ(3) for PEDNUM

 

1.092

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BMC Proceedings

ISSN: 1753-6561

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