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

BACKGROUND: Missing data is a pervasive problem in longitudinal data analysis. Several single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to address this issue. In this study, for the first time, the function of the longitudinal regression tree algorithm as a non-param...

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Detalles Bibliográficos
Autores principales: Jahangiri, Mina, Kazemnejad, Anoshirvan, Goldfeld, Keith S., Daneshpour, Maryam S., Mostafaei, Shayan, Khalili, Davood, Moghadas, Mohammad Reza, Akbarzadeh, Mahdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327316/
https://www.ncbi.nlm.nih.gov/pubmed/37415114
http://dx.doi.org/10.1186/s12874-023-01968-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327316/
https://www.ncbi.nlm.nih.gov/pubmed/37415114
http://dx.doi.org/10.1186/s12874-023-01968-8

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