Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?

Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?

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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...

書誌詳細
主要な著者:	Simons, C, Rivero-Arias, O, Yu, L, Simon, J
フォーマット:	Journal article
言語:	English
出版事項:	Springer International Publishing 2015

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