case_images: PMC10642769_01
case_images: Posterior distribution samples for the ESPD model. Weibull parameters: alpha, mu; Mixing proportion: pi; Adjustment coefficients: beta; Subscripts: p (recurrence), d (death).
case_images: fphar-14-1255021-g001.jpg
case_images: PMC10642769_01_fphar-14-1255021-g001.jpg
case_images: F1
case_images: Our discussion focuses on Figure 1; Table 3. In Figure 1, the posterior distribution of various model parameters is displayed. Figure 1 is the mixing proportion intercept (piint) with its mean value hovering around -1.5, indicating a higher likelihood of recurrence as opposed to death. Figure 1 also underscores that ulceration and thickness are pivotal factors influencing the outcomes, which can be seen based on the beta coefficients. The primary covariates influencing both the event type and its timing are ulceration and thickness, reflecting findings from Figure 1.