The Lindley distribution applied to competing risks lifetime data

Authors:
Josmar Mazucheli;Jorge A. Achcar
Affiliations:
Universidade Estadual de Maringá, DEs, PR, Brazil;Universidade de Sao Paulo, FMRP, SP, Brazil
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

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Abstract

Abstract: Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of k=2 mutually exclusive causes. In this paper a simple competing risks distribution is proposed as a possible alternative to the Exponential or Weibull distributions usually considered in lifetime data analysis. We consider the case when the competing risks have a Lindley distribution. Also, we assume that the competing events are uncorrelated and that each subject can experience only one type of event at any particular time.