DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/12619

Ítem no disponible en accés obert per política de l'editorial

Arxiu Descripció MidaFormat
Simultaneous marginal survival estimators when doubly censored data is present Lifetime Data Analysis.pdf398,51 kBAdobe PDF Accés restringit

Citació: Julià, O.; Gómez, G. Simultaneous marginal survival estimators when doubly censored data is present. "LifetIme data analysis", Octubre 2010.
Títol: Simultaneous marginal survival estimators when doubly censored data is present
Autor: Julià, Olga; Gómez Melis, Guadalupe Veure Producció científica UPC
Data: oct-2010
Tipus de document: Article
Resum: A doubly censoring scheme occurs when the lifetimes T being measured, from a well-known time origin, are exactly observed within a window [L,R] of observational time and are otherwise censored either from above (right-censored observations) or below (left-censored observations). Sample data consists on the pairs (U, δ) whereU = min{R, max{T,L}} and δ indicates whether T is exactly observed (δ = 0), right-censored (δ = 1) or left-censored (δ = −1). We are interested in the estimation of the marginal behaviour of the three random variables T,L and R based on the observed pairs (U, δ).We propose new nonparametric simultaneous marginal estimators ˆS T , ˆSL and ˆSR for the survival functions of T,L and R, respectively, by means of an inverse-probability-of-censoring approach. The proposed estimators ˆST , ˆSL and ˆS R are not computationally intensive, generalize the empirical survival estimator and reduce to the Kaplan-Meier estimator in the absence of left-censored data. Furthermore, ˆS T is equivalent to a self-consistent estimator, is uniformly strongly consistent and asymptotically normal. The method is illustrated with data from a cohort of drug users recruited in a detoxification program in Badalona (Spain). For these data we estimate the survival function for the elapsed time from starting IV-drugs to AIDS diagnosis, as well as the potential follow-up time. A simulation study is discussed to assess the performance of the three survival estimators for moderate sample sizes and different censoring levels.
ISSN: 1380-7870
URI: http://hdl.handle.net/2117/12619
DOI: 10.1007/s10985-010-9186-5
Apareix a les col·leccions:Altres. Enviament des de DRAC
GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions. Articles de revista
Departament d'Estadística i Investigació Operativa. Articles de revista
Comparteix:


Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons

 

Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius