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...
Үндсэн зохиолчид: | Simons, C, Rivero-Arias, O, Yu, L, Simon, J |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
Springer International Publishing
2015
|
Ижил төстэй зүйлс
-
Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
-н: Simons, C, зэрэг
Хэвлэсэн: (2015) -
Imputation of missing genotypes: an empirical evaluation of IMPUTE
-н: Steinberg Martin H, зэрэг
Хэвлэсэн: (2008-12-01) -
Multiple Imputation of Multilevel Missing Data
-н: Simon Grund, зэрэг
Хэвлэсэн: (2016-10-01) -
Flexible Imputation of Missing Data
-н: Hakan Demirtas
Хэвлэсэн: (2018-07-01) -
ExtraImpute: a novel machine learning method for missing data imputation
-н: Alabadla, Mustafa, зэрэг
Хэвлэсэн: (2022)