Table 1 Scheme of the 27 data generated cases
From: On the censored cost-effectiveness analysis using copula information
Generating copula | Costs distribution | Censoring level | DGP |
|---|---|---|---|
Gaussian copula | \(F_{C} \sim \mathcal {N}(\mu _{C}=1500, \sigma _{C}=400)\) | 15% | DGP 1 |
θ≈0.809 | 30% | DGP 2 | |
70% | DGP 3 | ||
F C ∼Γ(shape C =12,scale C =125) | 15% | DGP 4 | |
30% | DGP 5 | ||
70% | DGP 6 | ||
\(F_{C} \sim log\mathcal {N}(\nu _{C}=7.30,\tau _{C}=0.25)\) | 15% | DGP 7 | |
30% | DGP 8 | ||
70% | DGP 9 | ||
Clayton copula | \(F_{C} \sim \mathcal {N}(\mu _{C}=1500, \sigma _{C}=400)\) | 15% | DGP 10 |
θ=3 | 30% | DGP 11 | |
70% | DGP 12 | ||
F C ∼Γ(shape C =12,scale C =125) | 15% | DGP 13 | |
30% | DGP 14 | ||
70% | DGP 15 | ||
\(F_{C} \sim log\mathcal {N}(\nu _{C}=7.30,\tau _{C}=0.25)\) | 15% | DGP 16 | |
30% | DGP 17 | ||
70% | DGP 18 | ||
Gumbel copula | \(F_{C} \sim \mathcal {N}(\mu _{C}=1500, \sigma _{C}=400)\) | 15% | DGP 19 |
θ≈0.809 | 30% | DGP 20 | |
70% | DGP 21 | ||
F C ∼Γ(shape C =12,scale C =125) | 15% | DGP 22 | |
30% | DGP 23 | ||
70% | DGP 24 | ||
\(F_{C} \sim log\mathcal {N}(\nu _{C}=7.30,\tau _{C}=0.25)\) | 15% | DGP 25 | |
30% | DGP 26 | ||
70% | DGP 27 |