Table 2.
Parameter | Final Case (Gomes et al). Natural Scale | Value Used in the Simulation (Log-Scale) | Justification | |
---|---|---|---|---|
Total number of clusters | N | 30 | 10 | Test performance of methods when number of clusters is small |
No. of individuals per cluster | 50 | 20 | Test performance of methods when sample size is small | |
Level of imbalance | 0.5 | 0 | Set to zero in the present simulation to check the impact of sample size only on performance of estimation procedures | |
ICC for costs | ICCc | 0.05 | 0.5 | Used only to reconstruct final case of Gomes et al. |
ICC for outcomes | ICCq | 0.02 | 0.02 | Used only to reconstruct final case of Gomes et al. |
Coefficient of variation (CV) for costs | CVc | 0.5 | 0.65 | Coefficient of variation on log-scale based on reconstructed final case data (Gomes et al. 2012) |
Coefficient of variation for outcomes | CVq | 0 | 0.65 | Not reported in Gomes et al. as outcomes modeled using a normal distribution; we reconstructed their data assuming a CV of 0.5 |
Individual-level correlation of costs and effects | −0.2 | 0 | Assumed outcomes are independent given the random effects | |
Cluster-level correlation | 0.1 | 0.1 | Justification given in Gomes et al. (2012) | |
Mean costs placebo | — | — | £100 | Mean treatment and control group costs were taken to give a difference of £500 assumed in Gomes et al. (2012) |
Mean costs of new treatment | — | — | £600 | |
Mean effects of placebo | — | — | 0.8 | Mean effects for the treatment and control groups were taken to give a difference of 0.025 assumed in Gomes et al. (2012) |
Mean effects of new treatment | — | — | 0.875 |
ICC, intraclass correlation coefficient; CV, coefficient of variation (dispersion equal to CV squared).