Fig 1.
PDF shapes for the SW baseline distribution.
Fig 2.
HRF shapes for the SW baseline distribution.
Fig 3.
Six patterns of the hrf shapes for the SW baseline distribution.
Fig 4.
TTT plot for the gastric cancer data set.
Fig 5.
TTT plot for the Alloauto data set.
Table 1.
Results for the posterior properties of the SW-PH, SL-PH, SG-PH and SEE-PH models.
Fig 6.
The trace plots of the posterior parameters for the SW-PH model using gastric cancer data.
Fig 7.
The trace plots of the posterior parameters for the SL-PH model using gastric cancer data.
Fig 8.
The trace plots of the posterior parameters for the SG-PH model using gastric cancer data.
Fig 9.
The trace plots of the posterior parameters for the SEE-PH model using gastric cancer data.
Fig 10.
The autocorrelation plots of the posterior parameters for the SW-PH model using gastric cancer data.
Fig 11.
The autocorrelation plots of the posterior parameters for the SL-PH model using gastric cancer data.
Fig 12.
The autocorrelation plots of the posterior parameters for the SG-PH model using gastric cancer data.
Fig 13.
The autocorrelation plots of the posterior parameters for the SEE-PH model using gastric cancer data.
Table 2.
Bayesian model comparison for the SW-PH, SL-PH, SG-PH, and SEE-PH models.
Table 3.
Results for the posterior properties of the SW-PH, SL-PH, SG-PH and SEE-PH models using dataset II.
Fig 14.
The trace plots of the posterior parameters for the SW-PH model using Alloauto data.
Fig 15.
The trace plots of the posterior parameters for the SL-PH model using Alloauto data.
Fig 16.
The trace plots of the posterior parameters for the SG-PH model using Alloauto data.
Fig 17.
The trace plots of the posterior parameters for the SEE-PH model using Alloauto data.
Table 4.
Bayesian model comparison for the SW-PH, SL-PH, SG-PH, and SEE-PH models using Alloauto dataset.