Research Article
First Use of Multiple Imputation with the National Tuberculosis Surveillance System
Table 3
Errors in coefficient estimates for increasing numbers of imputed datasets.
| ā | Number of imputed datasets | ā | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Coefficient for isoniazid resistance | 0.71 | 0.72 | 0.72 | 0.73 | 0.72 | 0.73 | 0.73 | 0.74 | 0.74 | Within-imputation error | 0.23 | 0.23 | 0.23 | 0.23 | 0.23 | 0.23 | 0.23 | 0.23 | 0.23 | Between-imputation error | 0.11 | 0.08 | 0.07 | 0.06 | 0.05 | 0.05 | 0.05 | 0.05 | 0.05 |
| Coefficient for HIV infection | 1.44 | 1.33 | 1.29 | 1.27 | 1.25 | 1.24 | 1.23 | 1.24 | 1.23 | Within-imputation error | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | 0.14 | Between-imputation error | 0.31 | 0.28 | 0.24 | 0.22 | 0.20 | 0.19 | 0.17 | 0.16 | 0.16 |
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