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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