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Pedro Miranda-Afonso
software
talks
x
bsky
linkedin
scholar
Pedro Miranda-Afonso
software
talks
x
bsky
linkedin
scholar
software
talks
x
bsky
linkedin
scholar

SOFTWARE

Vignettes, Cran, Github

An R package to fit extended joint models for longitudinal and survival data. Developed with Dimitris Rizopoulos and Greg Papageorgiou.

Want to learn more about joint models and JMbayes2? Join our summer course.

UPCOMING TALKS

NCFS | Apr 2026, Driebergen
1. Evaluating long-term effectiveness of cystic fibrosis modulator therapies after rapid adoption: A dual-approach study [Contributed]

SAM 6 | Jun 2026, Bordeaux
2. The JMbayes2 R package for joint models of longitudinal and time-to-event data: From flexible fitting to dynamic prediction and validation [Invited]

EYSM 25 | Jul 2026, Vilnius
3. A shared-parameter joint modeling framework for predicting dynamic conditional treatment benefits from observational data [Invited]

IBC 33 | Jul 2026, Seoul
4. A joint model for (un)bounded longitudinal markers, competing Risks, and recurrent events using patient registry data [Invited]
5. A joint longitudinal-visit model for outcome-dependent sampling in pooled trial and registry data [Contributed]