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On regression models of survival analysis and application to grouped unemployment data

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    SYSNO ASEP0410620
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleOn regression models of survival analysis and application to grouped unemployment data
    Author(s) Volf, Petr (UTIA-B) RID, ORCID
    Issue dataPraha: VŠE, 2001
    ISBN80-245-0196-1
    Source TitleProceedings of the 19th International Conference on Mathematical Methods in Economics 2001 / Dlouhý M.
    Pagess. 193-198
    Number of pages6 s.
    ActionInternational Conference Mathematical Methods in Economics 2001 /19./
    Event date05.09.2001-07.09.2001
    VEvent locationHradec Králové
    CountryCZ - Czech Republic
    Event typeEUR
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsmathematical statistics ; survival analysis ; Cox's model
    Subject RIVBB - Applied Statistics, Operational Research
    R&D ProjectsGA402/01/0539 GA ČR - Czech Science Foundation (CSF)
    CEZ1075907
    AnnotationThe contribution deals with the Cox's regression model and with its application to the analysis of group ed data, when both the numbers of followed objects and the numbers of observed events are summarized in discrete time periods and covariate classes. The formulation of the model and the procedure of estimation of its parameters are presented. A numerical example shows the analysis of grouped unemployment data.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1  

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