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?

Show other versions (1)

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Simons, C, Rivero-Arias, O, Yu, L, Simon, J
Fformat:	Journal article
Iaith:	English
Cyhoeddwyd:	Springer International Publishing 2015

Eitemau Tebyg

Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
gan: Simons, C, et al.
Cyhoeddwyd: (2015)

Imputation of missing genotypes: an empirical evaluation of IMPUTE
gan: Steinberg Martin H, et al.
Cyhoeddwyd: (2008-12-01)

Multiple Imputation of Multilevel Missing Data
gan: Simon Grund, et al.
Cyhoeddwyd: (2016-10-01)

Flexible Imputation of Missing Data
gan: Hakan Demirtas
Cyhoeddwyd: (2018-07-01)

ExtraImpute: a novel machine learning method for missing data imputation
gan: Alabadla, Mustafa, et al.
Cyhoeddwyd: (2022)

Missing value imputation for diabetes prediction
gan: Luo, Fei, et al.
Cyhoeddwyd: (2023)

Quantum Circuit for Imputation of Missing Data
gan: Claudio Sanavio, et al.
Cyhoeddwyd: (2024-01-01)

Imputing missing distances in molecular phylogenetics
gan: Xuhua Xia
Cyhoeddwyd: (2018-07-01)

Missing Data Imputation for Supervised Learning
gan: Jason Poulos, et al.
Cyhoeddwyd: (2018-04-01)

Missing Data Imputation for Categorical Variables
gan: Jaroslav Horníček, et al.
Cyhoeddwyd: (2022-09-01)

Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network
gan: Hongsen Ou, et al.
Cyhoeddwyd: (2024-02-01)

Missing Data Imputation Algorithm for Transmission Systems Based on Multivariate Imputation With Principal Component Analysis
gan: Yeon-Sub Sim, et al.
Cyhoeddwyd: (2022-01-01)

How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations
gan: K. P. Junaid, et al.
Cyhoeddwyd: (2025-02-01)

The importance of batch sensitization in missing value imputation
gan: Hui, Harvard Wai Hann, et al.
Cyhoeddwyd: (2023)

Imputation of missing values in breast cancer data
gan: Rajagopal, Tejas R.
Cyhoeddwyd: (2024)

Robust regression imputation for analyzing missing data
gan: Rana, Md. Sohel, et al.
Cyhoeddwyd: (2012)

gcimpute: A Package for Missing Data Imputation
gan: Yuxuan Zhao, et al.
Cyhoeddwyd: (2024-02-01)

A Probabilistic Approach for Missing Data Imputation
gan: Muhammed Nazmul Arefin, et al.
Cyhoeddwyd: (2024-01-01)

Data variability in the imputation quality of missing data
gan: Elisandra Lúcia Moro Stochero, et al.
Cyhoeddwyd: (2024-04-01)

Missing Data Imputation in Internet of Things Gateways
gan: Cinthya M. França, et al.
Cyhoeddwyd: (2021-10-01)

Imputing Missing Data in Hourly Traffic Counts
gan: Muhammad Awais Shafique
Cyhoeddwyd: (2022-12-01)

The importance of batch sensitization in missing value imputation
gan: Harvard Wai Hann Hui, et al.
Cyhoeddwyd: (2023-02-01)

Missing value imputation Techniques: A Survey
gan: Wafaa Mustafa Hameed, et al.
Cyhoeddwyd: (2023-03-01)

Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models
gan: Gopalakrishnan, Raja, et al.
Cyhoeddwyd: (2021)

Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts
gan: Rafaela Costa Martins, et al.
Cyhoeddwyd: (2021-07-01)

A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction.
gan: Zhiyong Hu, et al.
Cyhoeddwyd: (2020-01-01)

Imputing missing genotypes: effects of methods and patterns of missing data
gan: Ogut Funda, et al.
Cyhoeddwyd: (2011-09-01)

Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias
gan: Elinor Curnow, et al.
Cyhoeddwyd: (2023-09-01)

Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes
gan: Biering K, et al.
Cyhoeddwyd: (2015-01-01)

An Evaluation of Machine Learning Algorithms for Missing Values Imputation
gan: Kohbalan, Moorthy, et al.
Cyhoeddwyd: (2019)

Missing variability in meta-analysis : is imputing always good?
gan: Nik Idris, Nik Ruzni, et al.
Cyhoeddwyd: (2006)

Imputing missing values in modelling the PM10 concentrations
gan: Nuradhiathy Abd Razak,, et al.
Cyhoeddwyd: (2014)

Tensor factorization for missing data imputation in medical questionnaires
gan: Dauwels, Justin, et al.
Cyhoeddwyd: (2013)

Advances in Biomedical Missing Data Imputation: A Survey
gan: Miriam Barrabes, et al.
Cyhoeddwyd: (2025-01-01)

A Comprehensive Bibliometric Analysis of Missing Value Imputation
gan: Heru Nugroho, et al.
Cyhoeddwyd: (2024-01-01)

Missing data imputation using classification and regression trees
gan: Cheng-Yang Chen, et al.
Cyhoeddwyd: (2024-06-01)

Missing Data Imputation in the Internet of Things Sensor Networks
gan: Benjamin Agbo, et al.
Cyhoeddwyd: (2022-05-01)

Multiple Imputation of Missing Data in Educational Production Functions
gan: Amira Elasra
Cyhoeddwyd: (2022-03-01)

Imputation of Missing Clinical Covariates for Downstream Classification Problems
gan: Benjamin Agbo, et al.
Cyhoeddwyd: (2023-01-01)

Missing Value Imputation Methods for Electronic Health Records
gan: Konstantinos Psychogyios, et al.
Cyhoeddwyd: (2023-01-01)