From: On the censored cost-effectiveness analysis using copula information
Modelisation process | Control arm | Acupuncture arm |
---|---|---|
Kendall’s tau \((\hat {\tau }_{K})\) | −0.1065 | −0.1232 |
QALY distribution | \(T_{adj} \sim \mathcal {N}(\hat {\mu }_{T_{adj}}=0.7083, \hat {\sigma }_{T_{adj}}=0.1118)\) | \(T_{adj} \sim \mathcal {N}(\hat {\mu }_{T_{adj}}=0.7268, \hat {\sigma }_{T_{adj}}=0.1190)\) |
Costs statistics | \(\hat {\mu }_{C}=217.20\) | \(\hat {\mu }_{C}=403.40 \) |
\(\hat {\sigma }_{C}=486.00\) | \(\hat {\sigma }_{C}=356.59\) | |
Costs distribution | \(C \sim logN(\hat {\nu }_{C}=4.4844, \hat {\tau }_{C}=1.3390)\) | \(C \sim logN(\hat {\nu }_{C}=5.7111, \hat {\tau }_{C}=0.7600)\) |
Selected copula family | Gaussian | Student (t) |
Copula parameter \((\hat {\theta })\) | −0.1664 | −0.1923 |