Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
PURPOSE: Missing data are a well-known and widely documented problem in cost-effectiveness analyses alongside clinical trials using individual patient-level data. Current methodological research recommends multiple imputation (MI) to deal with missing health outcome data, but there is little guidanc...
| Главные авторы: | , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
Springer International Publishing
2015
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Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
Опубликовано 2015
Journal article