Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study

PPMs imputation at the item level was preferable for MNAR, whereas MMRM and MICE imputation at the item level were better for other scenarios. These findings provide valuable insight for selecting appropriate methods for handling missing PRO data.

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Publication Details

Journal
Health and Quality of Life Outcomes
Published
2025-04-05
DOI
https://doi.org/10.1186/s12955-025-02364-0
Citations
3
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
6.32

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article

Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study

Chen Shi, Chenguang Zhao, Chun‐Quan Ou, Lizhi Zhou et al.
3 citations
Health and Quality of Life Outcomes
Psychometric Methodologies and Testing
6.32
article

Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study

Chen Shi, Chenguang Zhao, Chun‐Quan Ou, Lizhi Zhou, Min-Qian Yan
article en
3 citations

Abstract

PPMs imputation at the item level was preferable for MNAR, whereas MMRM and MICE imputation at the item level were better for other scenarios. These findings provide valuable insight for selecting appropriate methods for handling missing PRO data.

Health and Quality of Life OutcomesVol. 23(1)
Southern Medical University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 4%
Psychometric Methodologies and Testing
6.32
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