Application of the Cox proportional hazards model and competing risks models to critical illness insurance data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F21%3A39917550" target="_blank" >RIV/00216275:25410/21:39917550 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/10.1002/sam.11532" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/sam.11532</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/sam.11532" target="_blank" >10.1002/sam.11532</a>

Result language

angličtina

Original language name

Application of the Cox proportional hazards model and competing risks models to critical illness insurance data

Original language description

A commercial insurance company in the Czech Republic provided data on critical illness insurance. The survival analysis was used to study the influence of the gender of an insured person, the age at which the person entered into an insurance contract, and the region where the insured person lived on the occurrence of an insured event. The main goal of the research was to investigate whether the influence of explanatory variables is estimated differently when two different approaches of analysis are used. The two approaches used were (1) the Cox proportional hazard model that does not assign a specific cause, such as a certain diagnosis, to a critical illness insured event and (2) the competing risks models. Regression models related to these approaches were estimated by R software. The results, which are discussed and compared in the paper, show that insurance companies might benefit from offering policies that consider specific diagnoses as the cause of insured events. They also show that in addition to age, the gender of the client plays a key role in the occurrence of such insured events.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Statistical Analysis and Data Mining

ISSN

1932-1864

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

342-351

UT code for WoS article

000659464700001

EID of the result in the Scopus database

2-s2.0-85107411235