Series-1 (Nov. – Dec. 2026)Nov. – Dec. 2026 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Bayesian Survival Analysis Models; A Comparative Simulation Study of Modified Mixture Gamma Process and Dirichlet Process Cox Models with baseline models |
| Country | : | Nigeria |
| Authors | : | Joy Omeyi Omoha || Adams Samuel Olorunfemi || Zubair Mohammed Anono |
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: | 10.9790/5728-2206010120  |
Abstract : Background: Lassa fever remains an important public-health challenge in Nigeria, where recurrent outbreaks, substantial mortality, incomplete follow-up, and heterogeneous clinical trajectories complicate the analysis of patient survival. Conventional survival models, including exponential, Weibull, and Cox proportional hazards models, may be restrictive when the underlying hazard varies over time or when covariate effects are heterogeneous and.....
key Word: Lassa fever; Bayesian survival analysis; Modified Mixture Gamma Process Model; Modified Dirichlet Process Cox Model; Dirichlet process; MCMC, censoring
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