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Národní úložiště šedé literatury Nalezeno 3 záznamů.  Hledání trvalo 0.01 vteřin. 
Problem of competing risks with covariates: Application to an unemployment study
 Volf, Petr
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.
Úplný záznam
Statistical analysis of competing risks in an unemployment study
 Volf, Petr
This study is concerned with the analysis of dependence of random variables - latent times to events, in a competing risks case. We discuss first the problem of identifiability of marginal and joint distributions of competing random variables. Then, the copula models are utilized in order to express the dependence. Finally, the Gauss copula is used to solution of a real example with unemployment data.
Úplný záznam
On statistical modeling of incidence of competing events, with application to labor mobility analysis
 Volf, Petr
The contribution deals with the problem of competing risks (of competing events) in the statistical events occurrence analysis. In such a setting, one event excludes the occurrence of the other. Moreover, their latency may be dependent. Therefore, instead the analysis of marginal distributions (or intensities) of events, it is more convenient to model their real incidence, via so called incidence function. We present methods of such an incidence analysis and illustrate it on an example with unemployment data.
Úplný záznam

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