0505982 20240103222207.520190630235959.9 85068747539 000496183800002 10.17535/crorr.2019.0002 9 s. P cav_un_epca*05059811848-0225101 (2019)13-21Croatian Operational Research Society competing risks survival analysis unemployment study cav_un_auth*0101227 100 Volf Petr UTIA-B Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/SI/volf-0505982.pdf https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=324101 cav_un_auth*0363963 GA18-02739S GA ČR 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 of competing 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. SCOPUS BB 10000 10100 10103 2020 1 RVO:67985556 http://hdl.handle.net/11104/0297320 S 1* Article Chemistry Physical|Physics Atomic Molecular Chemical A 2019 85068747539 SCOPUS PUBMED 000496183800002 WOS cav_un_epca*0505981 Croatian Operational Research Review 1848-0225 1848-9931 Roč. 10 č. 1 2019 13 21 Croatian Operational Research Society