Long-Term Survival of Patient with End-Stage Renal Disease Using Bayesian Mixture Cure Rate Frailty Models
In the MC-WG Bayesian model, the diabetes, AST, calcium, phosphorus and uric acid variables had a significant effect on the survival of hemodialysis patients, while they were not significant in the Cox PH model. The results of MC-WG Bayesian model are more consistent with other studies.
Authors
- Abbas Etminan (ORCID: https://orcid.org/0000-0002-1691-2827)
- Ali Karamoozian (ORCID: https://orcid.org/0000-0002-1677-2852)
- Mohammad Reza Baneshi (ORCID: https://orcid.org/0000-0002-6405-8688)
- Mostafa Eghbalian (ORCID: https://orcid.org/0000-0001-8494-3740)
- Navisa Sadat Seyedghasemi
- Abbas Bahrampour (ORCID: https://orcid.org/0000-0002-6343-9243)
Institutions
- The University of Queensland (AU)
- Golestan University (IR)
- Kerman University of Medical Sciences (IR)
- Golestan University of Medical Sciences (IR)
Publication Details
- Journal
- Iranian Journal of Public Health
- Published
- 2024-09-16
- DOI
- https://doi.org/10.18502/ijph.v53i9.16464
- Primary Topic
- Healthcare Systems and Reforms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kerman University of Medical Sciences