Dynamic prediction of repeated events data based on landmarking model: application to colorectal liver metastases data

Table 1 Summary of data generated in the absence of a terminal event

Simulation parameters				True proportion of event numbers			Censored proportion	Kendall’s tau between t_i1 and t_i2 − t_i1
u _i	λ ₀₁	λ ₀₂	λ _c	No events	1	2	Censored proportion	Kendall’s tau between t_i1 and t_i2 − t_i1
1	1	1	0.5	36.7	36.8	26.5	35.7	−0.001
1	1	2	0.5	36.7	23.3	40.0	33.4	−0.001
Γ(0.5,0.5)	1	1	0.5	57.5	19.4	23.1	35.2	0.497
Γ(0.5,0.5)	1	2	0.5	57.5	13.1	29.4	33.7	0.497
1	1	1	2	36.7	36.8	26.5	81.2	−0.001
1	1	2	2	36.7	23.4	39.9	77.5	−0.001
Γ(0.5,0.5)	1	1	2	57.4	19.6	26.0	79.8	0.496
Γ(0.5,0.5)	1	2	2	57.4	13.4	29.2	77.0	0.496

ISSN: 1471-2288