[Retracted] A Joint Model for Unbalanced Nested Repeated Measures with Informative Drop-Out Applied to Ambulatory Blood Pressure Monitoring Data

Table 4

Simulation study results for the joint model with NRM.

Parameter	True value	Mean	Bias (%)
Longitudinal submodel for DBP
Intercept ()	4.0940	4.0912	−0.0758
Time ()	2.3020	2.2933	−0.4019
Severe group ()	0.4050	0.4167	2.7718
B visit ()	0.6930	0.6872	−0.8514
C visit ()	0.4050	0.4011	−1.0876
D visit ()	−0.6930	−0.7019	1.2641
Weibull submodel for drop-out
Intercept ()	0.2000	0.2056	2.7844
Severe group ()	0.6931	1.0621	53.2295
Random intercepts ()	−0.6931	−0.6583	−5.0249
Random visits ()	−0.9162	−1.2610	37.6157
Random slopes ()	−1.2030	−1.5865	31.7724
Parameter	SE	MSE	CP (%)
Longitudinal submodel for DBP
Intercept ()	1.3646	0.8692	100
Time ()	0.7943	0.1009	80
Severe group ()	1.5891	1.5981	100
B visit ()	1.1000	0.3664	100
C visit ()	1.3868	0.9282	95
D visit ()	1.6593	1.9051	95
Weibull submodel for drop-out
Intercept ()	3.3569	45.0296	100
Severe group ()	3.8810	106.3326	90
Random intercepts ()	8.2471	2094.8071	95
Random visits ()	6.7220	1032.5449	90
Random slopes ()	5.5531	414.4210	100

CP: coverage probability; DBP: diastolic blood pressure; SE: standard error; MSE: mean square error.