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...
Egile Nagusiak: | Simons, C, Rivero-Arias, O, Yu, L, Simon, J |
---|---|
Formatua: | Journal article |
Hizkuntza: | English |
Argitaratua: |
Springer International Publishing
2015
|
Antzeko izenburuak
-
Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
nork: Simons, C, et al.
Argitaratua: (2015) -
Imputation of missing genotypes: an empirical evaluation of IMPUTE
nork: Steinberg Martin H, et al.
Argitaratua: (2008-12-01) -
Multiple Imputation of Multilevel Missing Data
nork: Simon Grund, et al.
Argitaratua: (2016-10-01) -
Flexible Imputation of Missing Data
nork: Hakan Demirtas
Argitaratua: (2018-07-01) -
ExtraImpute: a novel machine learning method for missing data imputation
nork: Alabadla, Mustafa, et al.
Argitaratua: (2022)