A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data.

Yuan, Chengbo; Hedeker, Donald; Mermelstein, Robin; Xie, Hui

Yuan, Chengbo; Hedeker, Donald; Mermelstein, Robin; Xie, Hui.

Afiliação

Yuan C; Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.
Hedeker D; Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Mermelstein R; Department of Psychology and School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.
Xie H; Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.

Stat Med ; 39(20): 2589-2605, 2020 09 10.

Article em En | MEDLINE | ID: mdl-32367549

Assuntos

Modelos Estatísticos; Interpretação Estatística de Dados; Humanos; Modelos Lineares

Palavras-chave

linear mixed effects model; missing data; nonignorability; nonlinear sensitivity index; sensitivity analysis

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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