Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW De Vet, JWR Twisk, JPL Brand… - Journal of clinical …, 2014 - Elsevier
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk… - Journal of Clinical …, 2014 - research.vu.nl
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

[引用][C] Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk, JPL Brand… - Journal of Clinical …, 2014 - cir.nii.ac.jp
Missing data in a multi-item instrument were best handled by multiple imputation at the item
score level | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk… - Journal of Clinical …, 2014 - jclinepi.com
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

[PDF][PDF] Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhouta, HCW de Veta, JWR Twiska… - Journal of Clinical …, 2014 - academia.edu
Objectives: Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet… - Journal of …, 2014 - researchinformation.amsterdamumc …
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk, JPL Brand… - Journal of Clinical …, 2014 - infona.pl
Regardless of the proportion of missing values, complete-case analysis is most frequently
applied, although advanced techniques such as multiple imputation (MI) are available. The …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk… - Journal of Clinical …, 2014 - search.proquest.com
Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I Eekhout, HCW de Vet, JWR Twisk… - Journal of Clinical …, 2014 - research.rug.nl
Objectives: Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

[引用][C] Missing data in a multi-item instrument were best handled by multiple imputation at the item score level

I EEKHOUT, HCW DE VET, JWR TWISK… - Journal of clinical …, 2014 - pascal-francis.inist.fr
Missing data in a multi-item instrument were best handled by multiple imputation at the item
score level CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …