Goodness-of-fit test for randomly censored data based on maximum correlation
Strzalkowska-Kominiak, Ewa (Cracow University of Technology (Polònia). Mathematical Institute)
Grané, Aurea (Universidad Carlos III de Madrid. Departamento de Estadística)

Date:	2017
Abstract:	In this paper we study a goodness-of-fit test based on the maximum correlation coefficient, in the context of randomly censored data. We construct a new test statistic under general right- censoring and prove its asymptotic properties. Additionally, we study a special case, when the censoring mechanism follows the well-known Koziol-Green model. We present an extensive simulation study on the empirical power of these two versions of the test statistic, showing their ad- vantages over the widely used Pearson-type test. Finally, we apply our test to the head-and-neck cancer data.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Goodness-of-fit ; Kaplan-Meier estimator ; Maximum correlation ; Random censoring
Published in:	SORT : statistics and operations research transactions, Vol. 41 Núm. 1 (January-June 2017) , p. 119-138 (Articles) , ISSN 2013-8830

Adreça alternativa: https://raco.cat/index.php/SORT/article/view/326052
DOI: 10.2436/20.8080.02.54

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