Table 3.

ELSA: AIC and estimated $\alpha$s for shared random-effects joint models. $-2LL$ represents the -2loglikelihood.

MODEL	$p_{Y_j}$	Link function	Hazard distribution	$-2LL$	AIC	$\alpha$	${\alpha }_1$	${\alpha }_2$	$\rho$
INT.W1		(16)	Weibull	100985.1	101019.1		−0.480	−0.031	0.316
INT.W2		(15) j = 1	Weibull	100985.2	101017.2	−0.508			0.318
INT.W3		(15) j = 2	Weibull	100989.2	101021.2	−0.154			0.327
INT.W4	(9)	(16)	Weibull	101001.2	101033.2		−0.507	−0.075
INT.G1		(16)	Gompertz	100965.5	100999.5		−0.609	−0.007	0.315
INT.G2		(15) j = 1	Gompertz	100965.5	100997.5	−0.616			0.316
INT.G3		(15) j = 2	Gompertz	100971.2	101003.2	−0.168			0.329
INT.G4		(16)	Gompertz	100981.5	101013.5		−0.632	−0.065
$SLO.G1$	(10)	(17)	Gompertz	103373.2	103407.2		0.062	−0.015	0.474
$SLO.G2$		(18) j = 1	Gompertz	101170.6	101202.6	−0.617			0.436
$SLO.G3$		(18) j = 2	Gompertz	101179.1	101211.1	−0.117			0.431
$SLO.G4$		(17)	Gompertz	101197.5	101229.5		−0.583	−0.069

ELSA: English Longitudinal Study of Ageing; AIC: Akaike information criterion.