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Computing survival functions of the sum of two independent Markov processes: an application to bladder carcinoma treatment

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International Journal of Computer Mathematics

Abstract

The study of the sum of two independent phase-type (PH)-distributed variables, each of them being asso- ciated with a Markovian process with one absorbing state, is considered in this paper. The distribution function of the variable sum is computed, obtaining a new PH-distributed function of higher order. As the order increases in the new function, the exponential function of a block upper triangular matrix is calculated in terms of its respective blocks to reduce the dimension of the problem. The obtained results are applied to bladder carcinoma data.