Estimation des paramètres d'un modèle de Rasch mixte par la méthode GEE : application en qualité de vie

Mohand-Larbi Feddag; Ion Grama; Mounir Mesbah

Journal de la société française de statistique (2002)

  • Volume: 143, Issue: 1-2, page 167-175
  • ISSN: 1962-5197

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Feddag, Mohand-Larbi, Grama, Ion, and Mesbah, Mounir. "Estimation des paramètres d'un modèle de Rasch mixte par la méthode GEE : application en qualité de vie." Journal de la société française de statistique 143.1-2 (2002): 167-175. <http://eudml.org/doc/198718>.

@article{Feddag2002,
author = {Feddag, Mohand-Larbi, Grama, Ion, Mesbah, Mounir},
journal = {Journal de la société française de statistique},
keywords = {Fisher scoring algorithm; Rasch model},
language = {fre},
number = {1-2},
pages = {167-175},
publisher = {Société française de statistique},
title = {Estimation des paramètres d'un modèle de Rasch mixte par la méthode GEE : application en qualité de vie},
url = {http://eudml.org/doc/198718},
volume = {143},
year = {2002},
}

TY - JOUR
AU - Feddag, Mohand-Larbi
AU - Grama, Ion
AU - Mesbah, Mounir
TI - Estimation des paramètres d'un modèle de Rasch mixte par la méthode GEE : application en qualité de vie
JO - Journal de la société française de statistique
PY - 2002
PB - Société française de statistique
VL - 143
IS - 1-2
SP - 167
EP - 175
LA - fre
KW - Fisher scoring algorithm; Rasch model
UR - http://eudml.org/doc/198718
ER -

References

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  1. FEDDAG M.F., GRAMA I., MESBAH M. (2002), Generalized Estimating Equations for Mixed Logistic Models, Rapport technique -ISRN : UBS-sabres/RR-2002-03-FR. 
  2. FlSHER G.H., MOLENAAR I.W. (1995), Rasch Models Foundations, recents developments and Applications, Springer-Verlag. MR1367341
  3. GLAS C.A.W., ELIS J.L. (1993), RSP : Rasch Scaling Program, iec ProGAMMA, Groningen the Netherlands. 
  4. LAVERGNE C., TROTTIER C. (2000), Sur l'Estimation dans les Modèles Linéaires Généralisés à Effets Aléatoires, Revue de Statistique Appliquée, XLVIII (1), 49-67. 
  5. LIANG K.Y., ZEGER S.L. (1986), Longitudinal Data Analysis Using Generalised Linear Models, Biometrika, 73 (1), 121-130. Zbl0595.62110MR836430
  6. NEUHAUS J.M., KALBFLEISCH J.D., HAUCK W.W (1991), A comparison of Cluster-Specific and Population-Averaged Approaches for Analyzing Correlated Binary Data, International Statistical Review, 59, 25-35. 
  7. PRENTICE R.L. (1988), Correlated Binary Regression with Covariates Specific to Each Binary Observation, Biometrics, 44, 1033-1048. Zbl0715.62145MR980998
  8. SUTRADHAR B.C., RAO R.P. (2001), On Marginal Quasi-Likelihood Inference in Generalized Linear Mixed Models, Journal of Multivariate Analysis, 76, 1-34. Zbl0962.62070MR1811824
  9. WALD A. (1943), Tests of statistical hypothesies concerning several parameters when the number of observations is large, Trans. Ara. Math. Soc., 54, 426-482. Zbl0063.08120MR12401
  10. WEDDERBURN R.W.M. (1974), Quasi-likelihood function, generalized linear models and the Gauss-Newton method, Biometrika, 1974, 48, 439-447. Zbl0292.62050MR375592
  11. ZEGER S.L., LIANG K.Y., ALBERT P.S. (1988), Models for Longitudinal Data : A Generalized Estimating Equation Approach, Biometrics, 44, 1049-1060. Zbl0715.62136MR980999

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