A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis.

Jahangiri, Mina; Kazemnejad, Anoshirvan; Goldfeld, Keith S; Daneshpour, Maryam S; Mostafaei, Shayan; Khalili, Davood; Moghadas, Mohammad Reza; Akbarzadeh, Mahdi

Jahangiri, Mina; Kazemnejad, Anoshirvan; Goldfeld, Keith S; Daneshpour, Maryam S; Mostafaei, Shayan; Khalili, Davood; Moghadas, Mohammad Reza; Akbarzadeh, Mahdi.

Afiliação

Jahangiri M; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Kazemnejad A; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. kazem_an@modares.ac.ir.
Goldfeld KS; Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Daneshpour MS; Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafaei S; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Khalili D; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Moghadas MR; Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Akbarzadeh M; Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. akbarzadeh.ms@gmail.com.

BMC Med Res Methodol ; 23(1): 161, 2023 07 06.

Article em En | MEDLINE | ID: mdl-37415114

Assuntos

Projetos de Pesquisa; Humanos; Interpretação Estatística de Dados; Irã (Geográfico); Simulação por Computador; Modelos Lineares

Palavras-chave

Longitudinal regression tree; Missing longitudinal data; Multiple imputations; Single imputation

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Projetos de Pesquisa Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã

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