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stat.ME2025
Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
Taban Baghfalaki, Mojtaba Ganjali
We propose a comprehensive Bayesian joint modeling framework for zero-inflated longitudinal count data and time-to-event outcomes, explicitly incorporating a cure fraction to accou…
stat.ME2025
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
Taban Baghfalaki, Mojtaba Ganjali, Rui Martins
The integration of longitudinal measurements and survival time in statistical modeling offers a powerful framework for capturing the interplay between these two essential outcomes,…