Modelling of lung cancer survival data for critical illness insurances

DOI10.1007/s10260-019-00449-xzbMath1437.62370arXiv1602.08696OpenAlexW2963597020MaRDI QIDQ2176349

Beata Zmyślona, Joanna Dębicka

Publication date: 4 May 2020

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1602.08696

zbMATH Keywords

Markov chainmultiple state modellung cancersurvival modelmorbidity modelmultiple increment-decrement table

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Reliability and life testing (62N05)

Cites Work

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• Health insurance. Basic actuarial models
• Semi-Markov Risk Models for Finance, Insurance and Reliability
• Some reflections on different disability models
• Applied Semi-Markov Processes

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