Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data.

Wijesuriya, Rushani; Moreno-Betancur, Margarita; Carlin, John B; De Silva, Anurika P; Lee, Katherine J

Wijesuriya, Rushani; Moreno-Betancur, Margarita; Carlin, John B; De Silva, Anurika P; Lee, Katherine J.

Afiliação

Wijesuriya R; Department of Paediatrics, Faculty of Medicine Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.
Moreno-Betancur M; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Carlin JB; Department of Paediatrics, Faculty of Medicine Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.
De Silva AP; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
Lee KJ; Department of Paediatrics, Faculty of Medicine Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.

Biom J ; 64(8): 1404-1425, 2022 Dec.

Article em En | MEDLINE | ID: mdl-34914127

Assuntos

Projetos de Pesquisa; Adolescente; Humanos; Criança; Viés; Simulação por Computador

Palavras-chave

congeniality; interactions; multiple imputation; non-linearities; substantive model compatible; three-level data

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article