Bayesian MCMC approach in prognostic modelling of cardiovascular disease in Malaysia: a convergence diagnostic

• Main Authors: Nurliyana Juhan, Yong Zulina Zubairi, Ahmad Syadi Mahmood Zuhdi, Zarina Mohd Khalid
• Format: Proceedings
• Language: English; English
• Published: ResearchGate 2022
• Subjects: RA407-409.5 Health status indicators. Medical statistics and surveys; RC71-78.7 Examination. Diagnosis Including radiography
• Online Access: https://eprints.ums.edu.my/id/eprint/41298/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/41298/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/41298/; https://www.researchgate.net/publication/368498023_Bayesian_MCMC_Approach_in_Prognostic_Modelling_of_Cardiovascular_Disease_in_Malaysia_A_Convergence_Diagnostic
• Institution: Universiti Malaysia Sabah

Most studies that considered the Bayesian Markov Chain Monte Carlo (MCMC) approach in prognostic modelling of cardiovascular disease were only focused on the application of the Bayesian approach in variable selection, model, and prior distribution choice. Yet rarely of these studies have explored th...