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20232026
most citedEfficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

2 citations · 3 across the 2 of their papers we have counts for

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stat.ME2026

Extended Joint Models for Longitudinal and Time-to-Event Data: A Tutorial

Pedro Miranda-Afonso, Dimitris Rizopoulos

Shared-parameter joint models for longitudinal and time-to-event data are powerful tools for analyzing repeatedly measured biomarkers, clinical events, and the complex relationship…

stat.ME2024★ 1 cited

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data

Pedro Miranda Afonso, Dimitris Rizopoulos, Anushka K. Palipana +5

Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheles…