Survival models including excess hazard model and multilevel excess hazard model with application | ||||
| The Egyptian Statistical Journal | ||||
| Article 6, Volume 68, Issue 1, June 2024, Page 78-90 PDF (688.13 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.2024.284028.1033 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Doaa A. Abdo   1; Alaa Ahmed Abd-Elmegaly 2; Mona Abo EL Nasr3
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| 1Department of applied statistics, Faculty of Commerce, Mansoura University | ||||
| 2Higher Institute of Advanced Management Sciences and Computers, Al-Buhayrah, Egypt | ||||
| 3Department of applied statistics and insurance, Faculty of Commerce, Mansoura University | ||||
| Abstract | ||||
| This paper presents a comprehensive analysis of procedures for the excess hazard model. A common issue with hazard models is estimating the overall hazard rather than the excess hazard, leading to inaccurate parameter estimates. The paper suggests applying various survival models, including the excess hazard model and the multilevel excess hazard model, to enhance the accuracy and reliability of the results. The primary objective of this study is to estimate the excess hazard for both models and conduct a comparative analysis between them. Two statistical criteria, Akaike's Information Criterion (AIC) and Bayesian Information Criterion (BIC), were utilized to evaluate model accuracy. All calculations were performed using the R software system, specifically R version 4.2.2. The multilevel excess hazard model demonstrated superior performance in terms of AIC and BIC compared to the excess hazard model. | ||||
| Keywords | ||||
| Survival analysis; excess hazard model; multilevel excess hazard model; AIC; BIC | ||||
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