Statistical analysis and application of competing risks model with regression

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00505982" target="_blank" >RIV/67985556:_____/19:00505982 - isvavai.cz</a>
Result on the web
<a href="https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=324101" target="_blank" >https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=324101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17535/crorr.2019.0002" target="_blank" >10.17535/crorr.2019.0002</a>

Result language
angličtina
Original language name
Statistical analysis and application of competing risks model with regression
Original language description
The paper deals with the methods of statistical analysis of dependent competing risks in the presence of covariates. The problem of identi cation of marginal and joint distributions ofncompeting random variables is recalled and certain identi ability results in the framework of regression models are presented. The main objective is then to study the case when the correlation of competing variables depends on covariates, as this phenomenon has not been taken into account in the most of papers dealing with the identi ability of competing risks models with regression. Such a dependence is demonstrated and estimated on a real example with unemployment data.
Czech name
—
Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability

Project
<a href="/en/project/GA18-02739S" target="_blank" >GA18-02739S: Stochastic Optimization in Economic Processes</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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