Research Article
Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses
Table 9
Bayesian estimates and standard errors (in the parentheses) of parameter
in the air pollution data analysis.
| | | Missing data | Fully observed data | | EB | HM | EB | HM |
| | 0.547 (0.038) | 0.552 (0.039) | 0.541 (0.031) | 0.540 (0.031) | | −0.156 (0.035) | −0.163 (0.036) | −0.146 (0.028) | −0.145 (0.029) | | −0.273 (0.035) | −0.268 (0.036) | −0.225 (0.025) | −0.225 (0.025) | | 0.179 (0.038) | 0.200 (0.041) | 0.172 (0.028) | 0.171 (0.028) | | 0.034 (0.028) | 0.046 (0.035) | 0.034 (0.025) | 0.033 (0.028) | | −0.121 (0.038) | −0.121 (0.040) | −0.123 (0.030) | −0.122 (0.031) | | 0.000 (0.002) | 0.053 (0.035) | 0.039 (0.025) | 0.037 (0.027) |
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