Qualité de validation des modèles de régression logistique binaire

F. Duyme; J.-J. Claustriaux; J.-J. Daudin

Revue de Statistique Appliquée (2005)

  • Volume: 53, Issue: 3, page 91-102
  • ISSN: 0035-175X

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Duyme, F., Claustriaux, J.-J., and Daudin, J.-J.. "Qualité de validation des modèles de régression logistique binaire." Revue de Statistique Appliquée 53.3 (2005): 91-102. <http://eudml.org/doc/106570>.

@article{Duyme2005,
author = {Duyme, F., Claustriaux, J.-J., Daudin, J.-J.},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {3},
pages = {91-102},
publisher = {Société française de statistique},
title = {Qualité de validation des modèles de régression logistique binaire},
url = {http://eudml.org/doc/106570},
volume = {53},
year = {2005},
}

TY - JOUR
AU - Duyme, F.
AU - Claustriaux, J.-J.
AU - Daudin, J.-J.
TI - Qualité de validation des modèles de régression logistique binaire
JO - Revue de Statistique Appliquée
PY - 2005
PB - Société française de statistique
VL - 53
IS - 3
SP - 91
EP - 102
LA - fre
UR - http://eudml.org/doc/106570
ER -

References

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  5. DUYME F. ( 2001), Qualité des modèles de régression logistique binaire : effet de la proportion d'individus par catégorie et du mode d'utilisation des données (thèse de doctorat). Gembloux, Faculté Universitaire des Sciences Agronomiques (Belgique); Paris-Grignon, Institut National Agronomique (France), 181 p. 
  6. HOSMER D.W., LEMESHOW S. ( 1989), Applied logistic regression. New York, Wiley, 307 p. Zbl0967.62045
  7. HOSMER D.W., HOSMER T., LECESSIE S., LEMESHOW S. ( 1997), A comparison of goodness-of-fit tests for the logistic regression model. Stat. Med. 16, 965-980. 
  8. McCULLAGH P., NELDER J.A. ( 1989), Generalized linear models. London, Chapman & Hall, 511 p. Zbl0744.62098MR727836
  9. PEDUZZI P., CONCATO J., KEMPER E., HOLFORD T.R., FEINSTEIN A.R. ( 1996), A simulation study of the number of events per variable in logistic regression analysis. J. Clin. Epidemiol. 49, 1373-1379. 
  10. PRESS S.J., WILSON S. ( 1978), Choosing between logistic regression and discriminant analysis. J. Amer. Stat. Assoc. 73, 699-705. Zbl0399.62060
  11. RYAN T.P. ( 2000), Some issues in logistic regression. Comm. Stat.-Theo. Meth. 29, 2019-2032. Zbl1023.62076
  12. SAS Institute ( 1995), Logistic regression : examples using the SAS system version 6. Cary, SAS Institute Inc., 163 p. 
  13. STEYERBERG E.W., EIJKEMANS M.J.C., HABBEMA J.D.F. ( 1999), Stepwise selection in small data sets : a simulation study of bias in logistic regression analysis. J. Clin. Epidemiol. 52, 935-942. 
  14. STEYERBERG E.W., EIJKEMANS M.J.C., HARRELL F.E., HABBEMA J.D.F. ( 2000), Prognostic modelling with logistic regression analysis : a comparison of selection and estimation methods in small data sets. Stat. Med. 19, 1059-1079. 
  15. VAN HOUWELINGEN J.C., LE CESSIE S. ( 1990), Predictive value of statistical models. Stat. Med. 9, 1303-1325. 

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