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Multiple Imputation of Missing Complex Survey Data using SAS(®): A Brief Overview and An Example Based on the Research and Development Survey (RANDS)

Multiple imputation (MI) is a widely used analytic approach to address missing data problems. SAS(®) (SAS Institute Inc, Cary, N.C.) has established MI procedures including PROC MI and PROC MIANALYZE. We illustrate the use of these procedures for conducting MI analysis of complex survey data by an e...

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Detalles Bibliográficos
Autores principales: He, Yulei, Zhang, Guangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422982/
https://www.ncbi.nlm.nih.gov/pubmed/37576783