Multiple Imputation for Missing Data via Sequential Regression Trees
- Author
- BURGETTE, Lane F1 ; REITER, Jerome P1
[1] Department of Statistical Science, Duke University, Durham, North Carolina, United States - Source
American journal of epidemiology. 2010, Vol 172, Num 9, pp 1070-1076, 7 p ; ref : 32 ref
- CODEN
- AJEPAS
- ISSN
- 0002-9262
- Scientific domain
- Hygiene and public health, epidemiology, occupational medicine
- Publisher
- Oxford University Press, Cary, NC
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- diagnostic check imputation missing data pregnancy outcome regression tree
- Keyword (fr)
- Contrôle Diagnostic Donnée manquante Epidémiologie Evolution Femelle Femme Gestation Homme Multiple Pronostic Régression Santé publique
- Keyword (en)
- Check Diagnosis Missing data Epidemiology Evolution Female Woman Pregnancy Human Multiple Prognosis Regression Public health
- Keyword (es)
- Control Diagnóstico Dato que falta Epidemiología Evolución Hembra Mujer Gestación Hombre Múltiple Pronóstico Regresión Salud pública
- Classification
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B30 Public health. Hygiene-occupational medicine / 002B30A Public health. Hygiene / 002B30A01 General aspects / 002B30A01A Epidemiology
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B30 Public health. Hygiene-occupational medicine / 002B30A Public health. Hygiene / 002B30A11 Miscellaneous
- Discipline
- Public health. Hygiene-occupational medicine
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 23416315
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1093/aje/kwq260 
https://dx.doi.org/10.1093/aje/kwq260
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