A multiple imputation-based sensitivity analysis approach for regression analysis with a missing not at random covariate.

Hsu, Chiu-Hsieh; He, Yulei; Hu, Chengcheng; Zhou, Wei

A multiple imputation-based sensitivity analysis approach for regression analysis with a missing not at random covariate.

Hsu, Chiu-Hsieh; He, Yulei; Hu, Chengcheng; Zhou, Wei.

Affiliation

Hsu CH; Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona, Tucson, Arizona, USA.
He Y; National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA.
Hu C; Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona, Tucson, Arizona, USA.
Zhou W; Department of Surgery, University of Arizona, Tucson, Arizona, USA.

Stat Med ; 42(14): 2275-2292, 2023 06 30.

Article de En | MEDLINE | ID: mdl-36997162

Sujet(s)
Mots clés

missing covariate; missing not at random; multiple imputation; selection model; sensitivity analysis

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Modèles statistiques Type d'étude: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Stat Med Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

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