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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