4.5 Article

Decrement rates and a numerical method under competing risks

期刊

出版社

ELSEVIER
DOI: 10.1016/j.csda.2020.107125

关键词

Single decrement model; Conversions; Absolute rate of decrement; Single common distribution of decrement

资金

  1. Basic Science Research Program through National Research Foundation of Korea (NRF), South Korea - Ministry of Education [2017R1D1A1B03035773]
  2. National Research Foundation of Korea [2017R1D1A1B03035773] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Modeling the interactions of competing risks that affect the occurrence of various decrements is crucial in survival analysis and actuarial science. This study discusses the conversion between probabilities of decrement and absolute rates under a general form of a distribution of fractional ages, and proposes a novel numerical algorithm for its solution. Extensive numerical experiments verify that the algorithm provides reliable results in terms of efficiency and accuracy.
Modeling the interactions of competing risks that affect the occurrence of various decrements such as death or disease is an essential issue in survival analysis and actuarial science. Popular assumptions for the construction of decrement models are uniform distributions of decrements in a multiple decrement table (mUDD) and associated single decrement tables (sUDD), respectively. Even though there are many theoretical generalizations to relaxing mUDD assumption, it is not clear how to obtain theoretical and numerical methods for modeling relationships of competing risks under a general assumption in associated single decrement tables beyond the sUDD. We fill this gap in the literature by discussing the conversion between probabilities of decrement and absolute rates under a general form of a distribution of fractional ages. In particular, we show that extracting absolute rates from the probabilities under the general competing risk assumption boils down to solving a system of non-linear equations and propose a novel numerical algorithm for its solution. Extensive numerical experiments relying on the algorithm verify that the algorithm delivers reliable results in terms of efficiency and accuracy. (C) 2020 Elsevier B.V. All rights reserved.

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