Al-Hessainaii, A., A1-Znlzalah, Y. (2000). Modeling Competing Risks Data Using a Dagum Type (1) Distribution. test, 44(2), 123-136. doi: 10.21608/esju.2000.313829
Adel A. N. Al-Hessainaii; Yousef A1-Znlzalah. "Modeling Competing Risks Data Using a Dagum Type (1) Distribution". test, 44, 2, 2000, 123-136. doi: 10.21608/esju.2000.313829
Al-Hessainaii, A., A1-Znlzalah, Y. (2000). 'Modeling Competing Risks Data Using a Dagum Type (1) Distribution', test, 44(2), pp. 123-136. doi: 10.21608/esju.2000.313829
Al-Hessainaii, A., A1-Znlzalah, Y. Modeling Competing Risks Data Using a Dagum Type (1) Distribution. test, 2000; 44(2): 123-136. doi: 10.21608/esju.2000.313829

Modeling Competing Risks Data Using a Dagum Type (1) Distribution

The Egyptian Statistical Journal
Article 1, Volume 44, Issue 2, December 2000, Pages 123-136    PDF (5.42 M)
Document Type: Original Article
DOI: 10.21608/esju.2000.313829
Authors
Adel A. N. Al-Hessainaii* 1; Yousef A1-Znlzalah* 2
1Department of Quantitative Methods and Information Systems. Kuwait University
2Department of Quantitative Methods and Information Systems. Kuwait University
Abstract
An introduction to the theory of competing risks is given, then the formulation of competing risks models with the mathematical relationships between Dagum type-1 and Beta-P models are derived. The formulation of the Dagum type-I model within the context of competing risks is given. Hence Dagum type-I probability distribution is used to fit competing risks data. The fitted model is compared to the Weibull probability/ distribution. Finally the model derived is used to fit the survival times of cancer patients and the maximum likelihood method is used to estimate the parameters of the model and their covariance structure.
 
Keywords
lifetimes' models; Income models; Burr distributions; Pareto distributions; Parametric modeling; Cancer data
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