TABLE 4.

Estimates of the parameters ${\theta }_{0j}^{(\mathrm{\ell })}$ (4) of potential event time distributions for the three transition intensities from competing risks Model 1 and competing risks Model 2 in the application example.

	Model 1			Model 2
	${\widehat{\theta }}_{01}^{(1)}$	${\widehat{\theta }}_{02}^{(1)}$	${\widehat{\theta }}_{03}^{(1)}$	${\widehat{\theta }}_{01}^{(2)}$	${\widehat{\theta }}_{02}^{(2)}$	${\widehat{\theta }}_{03}^{(2)}$
Exponential	0.001	0.0011	0.004	0.0008	0.0017	0.0009
Gompertz	0.002, −0.016	0.003, −0.036	0.0002, 0.003	0.002, −0.018	0.006, −0.043	0.0007, −0.003
Weibull	−0.112, 1304.5	−0.38, 3098.3	0.097, 2894.8	−0.12, 1729.8	−0.404, 1595.9	0.108, 1242.1

Note: For Gompertz and Weibull, the first value corresponds to the scale and the second value to the shape parameter (following 23 and 24). Numbers in bold are used in the simulation study.