Parametric and semiparametric copula-based models for the regression analysis of competing risks
| Autor: | Alejandro R. Vásquez, Gabriel Escarela |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
021103 operations research Proportional hazards model 0211 other engineering and technologies Regression analysis 02 engineering and technology Logistic regression Competing risks 01 natural sciences Copula (probability theory) 010104 statistics & probability Joint probability distribution Covariate Econometrics 0101 mathematics Mathematics Parametric statistics |
| Zdroj: | Communications in Statistics - Theory and Methods. 50:2831-2847 |
| ISSN: | 1532-415X 0361-0926 |
| DOI: | 10.1080/03610926.2019.1676447 |
| Popis: | Copula-based constructions of the joint distribution of the overall survival time and the cause-specific failure are developed for the analysis of competing risks data. Covariate effects are incorp... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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