From: Bayesian variable selection for parametric survival model with applications to cancer omics data
Parameter | Scenario | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
Censoring rate | 40% | |||||
Causal effects | − 0.2, 0.2, − 0.3, 0.3, − 0.4, 0.4 | |||||
Replications | 50 | |||||
Sample size of test dataset | 100 | |||||
Distribution of survival time (shape) | Exponential | Weibull (2) | Gamma (0.8) | |||
Sample size (n) / No. of makers(p) | 500/1000 | 500/5000 | 500/1000 | 500/5000 | 500/1000 | 500/5000 |