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

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第一作者： Minqian,Yan

第一单位： State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.

作者： Minqian,Yan ^[1] ; Lizhi,Zhou ^[1] ; Chongye,Zhao ^[1] ; Chen,Shi ^[1] ; Chunquan,Ou ^[2]

作者单位： State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China. ^[1] State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China. ouchunquan@hotmail.com.;Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China. ouchunquan@hotmail.com. ^[2]

关键词 Mixed model for repeated measures Monte carlo simulation Multiple imputations Patient-reported outcomes Pattern mixture models Randomised controlled trials

医学主题词人类(Humans);计算机模拟(Computer Simulation);纵向研究(Longitudinal Studies);数据说明, 统计(Data Interpretation, Statistical);模型, 统计学(Models, Statistical)

DOI 10.1186/s12955-025-02364-0

PMID 40188085

发布时间 2025-05-16

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