October 9, 2025Open Access

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution

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Joint modeling integrates longitudinal data and time-to-event outcomes, suggesting a new framework for cure survival analysis.

A new model shows efficient parameter estimation using bayesian inference within a joint framework.
This study evaluates a unique dataset on antiepileptic drug failure, comparing treatment effectiveness.
The proposed method accommodates patients who may not experience the event, addressing cure fractions.
Using a simulation study, the method demonstrates strong frequentist properties under low-informativeness.

Neto et al. (2025) studied this question.

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