The Lindley distribution applied to competing risks lifetime data
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Updated: Jun 2, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Josmar Mazucheli1, Jorge A Achcar
1Universidade Estadual de Maringá, DEs, PR, Brazil. jmazucheli@gmail.com
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.
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