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Table 5 Marginal model and random-effects models analysing the influence of time and age

From: Choosing marginal or random-effects models for longitudinal binary responses: application to self-reported disability among older persons

  Marginal model GEE Random model likelihood integration
  Estimate SE p value Estimate SE p value
Intercept -1.83 0.12 < 0.0001 -3.61 0.25 < 0.0001
Time (years) 0.12 0.03 < 0.0001 0.17 0.06 0.002
Age at baseline* 0.09 0.02 < 0.0001 0.16 0.03 < 0.0001
Age* × time 0.01 0.004 0.003 0.04 0.009 < 0.0001
Baseline disability 1.54 0.10 < 0.0001 3.18 0.22 < 0.0001
Death during the study 0.68 0.12 < 0.0001 1.36 0.26 < 0.0001
Random intercept variance - - - 7.25 0.68 < 0.0001
Random slope variance - - - 0.18 0.04 < 0.0001