Table 7.
Joint coverage at the nominal 95% level for the parameters of the linear regressions on Y6 (n = 300) for the complete-case analysis (CC), log-normal imputation (LMlog), predictive mean matching (PMM), and symmetric (QRTs) and asymmetric (QRTa) transformed quantile regression imputation models. The latter were fitted with either (1) known or (2) unknown λp.
| CC | LMlog | PMM | QRTs (1) | QRTa (1) | QRTs (2) | QRTa (2) | |
|---|---|---|---|---|---|---|---|
| Model 1 | 94.0 | 95.1 | 94.0 | 94.4 | 94.8 | 94.7 | 94.7 |
| Model 2 | 94.8 | 83.3 | 95.2 | 95.0 | 95.1 | 94.9 | 95.0 |
| Model 3 | 51.9 | 78.0 | 90.0 | 93.6 | 92.2 | 93.5 | 92.7 |