Original title: Problem of competing risks with covariates: Application to an unemployment study
Authors: Volf, Petr
Document type: Papers
Conference/Event: 36th International Conference Mathematical Methods in Economics, Jindřichův Hradec (CZ), 20180912
Year: 2018
Language: eng
Abstract: The study deals with the methods of statistical analysis in the situation of competing risks in the presence of regression. First, the problem of identification of marginal and joint distributions of competing random variables is recalled. The main objective is then to demonstrate that the parameters and, in particular, the correlation of competing variables, may depend on covariates. The approach is applied to solution of a real example with unemployment data. The model uses the Gauss copula and Cox’s regression model.
Keywords: competing risks; statistical analysis; unemployment study
Project no.: GA18-02739S (CEP)
Funding provider: GA ČR
Host item entry: 36th International Conference Mathematical Methods in Economics, ISBN 978-80-7378-371-6

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2018/SI/volf-0493451.pdf
Original record: http://hdl.handle.net/11104/0286985

Permalink: http://www.nusl.cz/ntk/nusl-386553


The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
 Record created 2018-10-02, last modified 2019-03-28


No fulltext
  • Export as DC, NUŠL, RIS
  • Share