Excited to be teaching a course at the International Biometric Conference in Seoul on Dynamic Predictions for Longitudinal and Survival Data, with applications in R using JMbayes2.
Want to learn how to build and interpret dynamic predictions from joint models? Check: www.ibc2026.org/events/short...
Joint work with @drizopoulos.bsky.social.
Happy to present on causal dynamic predictions at #ISCB46 in Basel!
Join me, @gelovennan.bsky.social, @vanamsterdam.bsky.social, and @ruthkeogh.bsky.social for the invited session “Prediction modelling meets causal inference for clinical decision making”.
📍 Mon 25 Aug, 16:00 (Biozentrum U1.111)
This is joint work with
@erandrinopoulou.bsky.social
and many other brilliant co-authors.
Enjoyed being in Milan for the European Cystic Fibrosis Conference! Presented our study on the long-term effectiveness of CF modulators using US CFF registry data, challenging without a contemporary control group post-rapid adoption.
Grateful to the ECFS for the Travel Grant Award.
Abstract submissions are open for the 2025 Portuguese Statistical Society Conference. Deadline: June 22.
📍 Faro, Algarve 🇵🇹
📅 October 22 to 25, 2025
🔗 spe2025.mozellosite.com
October is a fantastic time to visit: sunny skies, pleasant highs around 23 °C (73 °F), and the summer crowds are easing. ☀️
A new version of JMbayes2 is out with new implementations of the AUC and Brier score for Cox models, and internal validation using cross-validation and the Bootstrap. Read more about it here: drizopoulos.github.io/JMbayes2/art...
🌟 New Publication Alert! 🌟
Excited to share our new paper: 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗕𝗶𝗼𝗽𝘀𝘆 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝘀 𝗨𝘀𝗶𝗻𝗴 𝗮𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗮𝗹-𝗖𝗲𝗻𝘀𝗼𝗿𝗲𝗱 𝗖𝗮𝘂𝘀𝗲-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗝𝗼𝗶𝗻𝘁 𝗠𝗼𝗱𝗲𝗹.
🔗 doi.org/10.1002/sim....
with Zhenwei Yang, @drizopoulos.bsky.social , Eveline Heijnsdijk, Lisa Newcomb
Periodic reminder:
Hyphens for double-barrelled surnames (Fisher-Box, Barndorff-Nielsen).
En-dashes for shared credit among 2+ people (Box–Cox, Kaplan–Meier, Cramér–Rao, Gauss–Hermite, Newton–Raphson).
Stop wasting my time (googling “did Kaplan and Meier have a kid”) by getting this wrong
Bayesian joint modeling for multiple clinical outcome variables is highly promising. I can’t wait to read this. #StatsSky #rct
@f2harrell.bsky.social, thank you for your interest! I’d be very interested to hear any feedback or thoughts you might have after reading it.
Our new paper is out in Statistics in Medicine! We developed a joint model for multiple (un)bounded longitudinal markers, recurrent events, and competing risks, applied to US CF patient registry data. Joint work with @drizopoulos.bsky.social and @erandrinopoulou.bsky.social.
doi.org/10.1002/sim....
Looking forward to present at the Diabetes StatClin Meeting in the beautiful Santiago de Compostela!
I'll be talking about dynamic prediction using joint models for longitudinal and time-to-event data, connecting biostatistics and clinical practice to advance diabetes care.
What a great few days in Bonn! A huge thank you to the organizers for such a well-run event. Grateful for the opportunity to share my work, and honored to bring home the Best Oral Presentation award! #SAfJR #SAfJR2025
Off to Bonn for the 10th Survival Analysis for Junior Researchers Conference! I’ll be presenting our work on dynamic prediction of survival benefit to prioritize patients on the liver transplant waiting list. #SAfJR #SAfJR2025
Joint work with @erandrinopoulou.bsky.social.
Heading to Paris for the European CF Young Investigator Meeting! Excited to present our work on the long-term effectiveness of ivacaftor. With rapid adoption, finding a control group is challenging—I'll discuss how within-subject analyses can help! @vaincrelamuco.bsky.social
