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Table 3 Summary of data generated in the presence of a terminal event

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

Simulation parameters True proportion of event numbers Censored proportion Kendall’s tau
u i λ 01 λ 02 λ 0 D λ c No events 1 2 terminal (ti1, ti2 − ti1) (ti1, tiD) (ti2 − ti1, tD)
1 1 1 0.3 0.5 27.3 27.2 19.5 26.0 34.1 −0.0003 0.002 0.001
1 1 2 0.3 0.5 27.3 17.1 29.5 26.0 34.1 −0.0003 0.002 0.001
Γ(0.5,0.5) 1 1 0.3 0.5 52.7 14.4 11.8 21.1 35.2 0.501 0.500 0.499
Γ(0.5,0.5) 1 2 0.3 0.5 52.7 10.3 16.0 21.1 35.2 0.501 0.500 0.499
1 1 1 0.3 2 27.2 27.2 19.6 26.9 77.9 −0.001 0.0003 0.002
1 1 2 0.3 2 27.2 17.4 29.5 26.9 77.7 −0.001 0.001 0.004
Γ(0.5,0.5) 1 1 0.3 2 52.3 14.7 12.2 20.9 78.6 0.499 0.498 0.497
Γ(0.5,0.5) 1 2 0.3 2 52.2 10.8 16.2 20.9 78.5 0.497 0.495 0.495