A comparison of mixed effects logistic regression models for binary response data with two nested levels of clustering
- Author
- TEN HAVE, T. R1 ; KUNSELMAN, A. R1 ; TRAN, L1
[1] Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania College of Medicine, Philadelphia, PA 19104-6024, United States - Source
Statistics in medicine. 1999, Vol 18, Num 8, pp 947-960 ; ref : 24 ref
- ISSN
- 0277-6715
- Scientific domain
- General medicine general surgery
- Publisher
- Wiley, Chichester
/
Wiley, Elmont, NY
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse amas Animal Donnée binaire Erreur systématique Estimation paramètre Etude comparative Modèle régression Méthode statistique Rat Régression logistique Simulation Terrier Toxicité Mammalia Rodentia Vertebrata
- Keyword (en)
- Cluster analysis Animal Binary data Bias Parameter estimation Comparative study Regression model Statistical method Rat Logistic regression Simulation Burrow Toxicity Mammalia Rodentia Vertebrata
- Keyword (es)
- Analisis cluster Animal Dato binario Error sistemático Estimación parámetro Estudio comparativo Modelo regresión Método estadístico Rata Regresión logística Simulación Madriguera Toxicidad Mammalia Rodentia Vertebrata
- Classification
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B28 Computerized, statistical medical data processing and models in biomedicine / 002B28F Medical statistics
- Discipline
- Public health. Hygiene-occupational medicine
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1774123
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
10.1002/(SICI)1097-0258(19990430)18:8<947::AID-SIM95>3.0.CO;2-B 
https://dx.doi.org/10.1002/(SICI)1097-0258(19990430)18:8<947::AID-SIM95>3.0.CO;2-B
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