Research Article
Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses
Table 4
The variable selection proportions results for
in the first simulation study.
| | Case | | | | | | | | |
| | (i) Empirical Bayesian scenario | | i | 0.00 | 0.00 | 0.96 | 0.97 | 0.00 | 0.95 | 0.94 | 0.98 | | ii | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | iii | 0.00 | 0.96 | 0.98 | 0.93 | 0.94 | 0.96 | 0.97 | 0.94 |
| | (ii) Hierarchical model scenario | | i | 0.00 | 0.00 | 0.99 | 0.98 | 0.00 | 1.00 | 1.00 | 1.00 | | ii | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | | iii | 0.00 | 1.00 | 0.99 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
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