. 2018 Jan 4;18:2. doi: 10.1186/s12874-017-0462-x

Table 1.

Simulation scenarios

Scenario	$λ_{0}^{MI} (t, t_{prev})$	$λ_{0}^{D} (t, t_{prev})$	exp(β^MI(t_prev))	exp(β^D(t_prev))
1a	0.25	0.25	0.5	0.5
1b	0.25	0.25	0.5	0.7
1c	0.25	0.25	0.7	0.5
1d	0.25	0.25	0.7	1.5
1e	0.25	0.25	1.5	0.7
2a	$0.25 \cdot 1 / \sqrt{t_{prev}}$	$0.25 \cdot 1 / \sqrt{t_{prev}}$	0.5	0.5
2b	$0.25 \cdot 1 / \sqrt{t_{prev}}$	$0.25 \cdot 1 / \sqrt{t_{prev}}$	0.5	0.7
2c	$0.25 \cdot 1 / \sqrt{t_{prev}}$	$0.25 \cdot 1 / \sqrt{t_{prev}}$	0.7	0.5
2d	$0.25 \cdot 1 / \sqrt{t_{prev}}$	$0.25 \cdot 1 / \sqrt{t_{prev}}$	0.7	1.5
2e	$0.25 \cdot 1 / \sqrt{t_{prev}}$	$0.25 \cdot 1 / \sqrt{t_{prev}}$	1.5	0.7
3a	t ^0.3	t ^0.3	0.5	0.5
3b	t ^0.3	t ^0.3	0.5	0.7
3c	t ^0.3	t ^0.3	0.7	0.5
3d	t ^0.3	t ^0.3	0.7	1.5
3e	t ^0.3	t ^0.3	1.5	0.7
3f	1.5·t^0.3	t ^0.3	0.5	0.5
4a	0.25	0.25	0.5 exp(0.05ln(0.5)·t_prev)	0.5 exp(0.05ln(0.5)·t_prev)
4b	0.25	0.25	0.5 exp(0.05ln(0.5)·t_prev)	0.7 exp(0.05ln(0.7)·t_prev)
4c	0.25	0.25	0.7 exp(0.05ln(0.7)·t_prev)	0.5 exp(0.05ln(0.5)·t_prev)
4d	0.25	0.25	0.7 exp(0.05ln(0.7)·t_prev)	1.5 exp(0.05ln(1.5)·t_prev)
4e	0.25	0.25	1.5 exp(0.05ln(1.5)·t_prev)	0.7 exp(0.05ln(0.7)·t_prev)
5a	0.25	0.25	0.5 exp(−0.05ln(0.5)·t_prev)	0.5 exp(−0.05ln(0.5)·t_prev)
5b	0.25	0.25	0.5 exp(−0.05ln(0.5)·t_prev)	0.7 exp(−0.05ln(0.7)·t_prev)
5c	0.25	0.25	0.7 exp(−0.05ln(0.7)·t_prev)	0.5 exp(−0.05ln(0.5)·t_prev)
5d	0.25	0.25	0.7 exp(−0.05ln(0.7)·t_prev)	1.5 exp(−0.05ln(1.5)·t_prev)
5e	0.25	0.25	1.5 exp(−0.05ln(1.5)·t_prev)	0.7 exp(−0.05ln(0.7)·t_prev)
5f	0.25	0.25	0.5 exp(−0.5ln(0.5)·t_prev)	0.5 exp(−0.5ln(0.5)·t_prev)

$λ_{0}^{MI} (t, t_{prev})$ baseline hazard function for the recurrent event (myocaridal infarction); $λ_{0}^{D} (t, t_{prev})$ baseline hazard function for the fatal event (death); exp(β^MI(t_prev)) hazard ratio for the recurrent event (myocardial infarction); exp(β^D(t_prev)) hazard ratio for the fatal event (death)