Table 3 Aneurisms: Summary of posterior distributions and the ICM algorithm for the regression parameters
From: A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
cubic | constant | ICM algorithm | |||||||
|---|---|---|---|---|---|---|---|---|---|
Parameter | P. Mean | q 0.025 | q 0.975 | P. Mean | q 0.025 | q 0.975 | Est. | q 0.025 | q 0.975 |
β mo | -1.408 | -2.586 | -0.451 | -1.382 | -2.452 | -0.451 | -1.007 | -1.892 | -0.417 |
β loc | -0.879 | -1.649 | -0.123 | -0.868 | -1.658 | -0.144 | -0.831 | -1.139 | -0.533 |