Comptes Rendus
Statistics/Probability Theory
Statistical analysis of survival and reliability data with multiple crossings of survival functions
Comptes Rendus. Mathématique, Volume 340 (2005) no. 5, pp. 377-382.

We present a statistical model and semiparametric estimation procedure for analysis of survival data with multiple cross-effects (MCE) of survival functions. A goodness-of-fit test for the proportional hazards model against the MCE model is proposed.

On propose un modèle et une procédure semiparamétrique d'estimation pour analyser les données de survie avec multiples effets de croisement (MCE) de fonctions de survie. Un test d'ajustement pour le modèle des risques proportionnels contre le modèle MCE est proposé.

Received:
Accepted:
Published online:
DOI: 10.1016/j.crma.2005.01.019
Vilijandas Bagdonavičius 1; Mikhail Nikulin 2

1 University of Vilnius, 24, Naugarduko, Vilnius, Lithuania
2 Statistique mathématique, université Victor Segalen – Bordeaux 2, 146, rue Léo-Saignat, 33076 Bordeaux, France
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     title = {Statistical analysis of survival and reliability data with multiple crossings of survival functions},
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Vilijandas Bagdonavičius; Mikhail Nikulin. Statistical analysis of survival and reliability data with multiple crossings of survival functions. Comptes Rendus. Mathématique, Volume 340 (2005) no. 5, pp. 377-382. doi : 10.1016/j.crma.2005.01.019. https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.1016/j.crma.2005.01.019/

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[4] C. Ceci, L. Mazliak, Optimal design in nonparametric life testing, Preprint January 2002, Laboratoire de probabilités et modèles aléatoirs, Universités Paris VI et VII, 2002

[5] F. Hsieh On heteroscedastic hazards regression models: theory and application, J. Roy. Statist. Soc. Ser. B, Volume 63 (2001), pp. 63-79

[6] T.R. Fleming; D.P. Harrington Counting Processes and Survival Analysis, Wiley, New York, 1991

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