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Table 3 Event process estimates from the joint model and time-varying Cox model estimates

From: Joint modelling of longitudinal and time-to-event data: an illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy

  β estimate aHR (95% CI) S.E. p-value
Time-varying proportional hazards model
Longitudinal \(\sqrt {CD4}\) count (per unit decrease) 0.16 1.17 (1.12-1.23) 0.03 <0.001
Event Process
Age (years) 0.01 1.01 (0.99-1.03) 0.01 0.148
Log10 viral load (copies/ml) 0.37 1.45 (1.21-1.69) 0.12 0.002
Men (ref: women) 0.05 1.05 (0.70-1.40) 0.18 0.775
Urban site (ref: rural) -0.08 0.92 (0.49-1.35) 0.22 0.758
Prevalent TB (ref: no prevalent TB) -0.21 0.81 (0.34-1.28) 0.24 0.377
Association (per unit decease) 0.30 1.34 (1.27-1.42) 0.03 <0.001
  1. aHR: adjusted hazard ratios; S.E.: standard error