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A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially handling both recurrent and competing event times within a si
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