The Lindley distribution applied to competing risks lifetime data

Comput Methods Programs Biomed. 2011 Nov;104(2):188-92. doi: 10.1016/j.cmpb.2011.03.006. Epub 2011 May 7.

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.

MeSH terms

  • Models, Theoretical*
  • Risk