Survival Analysis Using a Censored Semiparametric Regression Model

Jesus Orbe, María Eva Ferreira García and Vicente Alfredo Núñez Antón
Authors registered in the RePEc Author Service: Vicente Núñez-Antón

No 1134-8984, BILTOKI from Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística)

Abstract: In this work we study the effect of several covariates X on a censored response variable T with unknown probability distribution. A semiparametric model is proposed to consider situations where the functional form of the effect of one or more covariates is unknown. We provide its estimation procedure and, in addition, a bootstrap technique to make inference on the parameters. An application with a real dataset is presented, as well as some simulation results, to demonstrate the good behavior of the proposed estimation process and to analyze the effect of the censorship. This new model has an important application field in reliability, survival or lifetime data analysis.

Keywords: lifetime data models; censorship; Kaplan-Meier; bootstrap; nonparametric estimation (search for similar items in EconPapers)
Date: 2000-04
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Persistent link: https://EconPapers.repec.org/RePEc:ehu:biltok:5803

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Dpto. de Econometría y Estadística, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain

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