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Topics include competing risks and multi-state models, dynamic prediction, pseudo-observations, frailty models and joint models.

Faculty includes Maja Pohar Perme, Dimitris Rizopoulos , Nan van Geloven, Ed Bonneville, Liesbeth de Wreede and Hein Putter.

📣I'll deliver a course on #JointModels at the upcoming congress of Sociedade Portuguesa de Estatística! I’ll present our #RStats 📦 JMbayes2, developed with Dimitris Rizopoulos and Greg Papageorgiou. Join me in the charming city of Guimarães. Abstract submission deadline: 18 June. #statstwitter #epitwitter

Proud of Anirudh Tomer for receiving the Hans van Houwelingen Biometry Award from BMS-ANed for his work on personalized schedules with joint models. Looking forward to organizing an event on this topic next year! #jointmodels #statstwitter #rstats

Interested to learn more about personalized scheduling of invasive procedures using joint models? Check my recent webinar organized by SESSTIM: youtu.be/9HkjsfLDhxk

[#Webinar] Our latest QuanTIM webinar is out! ⤵ 💬Personalized Scheduling of Invasive Procedures 🗣Dimitris Rizopoulos 💻sesstim.univ-amu.fr/fr/video-box/w… 📎 Slides: drizopoulos.github.io/Personalized_S… #PrecisionMedicine #DynamicPredictions #JointModels

During the Erasmus Summer Programme you will be taught by the best in their field. Some of them hold an (adjuct) professorship at institutions such as Harvard University and Cambridge University. View our faculty here: erasmussummerprogramme.nl/faculty/ Dimitris Rizopoulos, Fernando Rivadeneira, Gennady Roshchupkin and more.

Ready for my JSM course!

Great talk by Dimitris Rizopoulos on the causal effects of salvage therapy for radical prostatectomy #prostatecancer #ISCB44

Now at #ISCB44 Dimitris Rizopoulos presenting JMbayes2, an R package to fit extended joint models for longitudinal and time-to-event data.

A new vignette on the website of JMbayes2 showcasing how time-varying coefficients (non-proportional hazards) for the longitudinal outcomes are implemented in the package: drizopoulos.github.io/JMbayes2/artic… #rstats #statstwitter #epitwitter

Want to learn how to improve the accuracy of dynamic predictions? Have a look at our new super learning procedure for joint models: doi.org/10.1002/sim.10… Example code available on JMbayes2's website: drizopoulos.github.io/JMbayes2/artic…

Five pre-conference courses Kelly Van Lancker Dimitris Rizopoulos Babak Oskooei @CNakas and many others +invited sessions covering the stat of the art in biostatistics + an exciting social program (Mount Olympus, ancient Vergina, swimming etc).

Interested in applications of machine learning and statistics for sequential decision making? Join us at the BMS-ANed spring meeting: vvsor.nl/biometrics/eve… #epitwitter #statstwitter

Special Announcement! We're pleased to welcome Sander Greenland as our Keynote Speaker for IBC2024. Dr. Greenland is Emeritus Professor of Epidemiology and Statistics at the University of California, Los Angeles. Registration is Open! Visit ibc2024.org for more info!

A great meeting at Erasmus MC today hosting the BMS-ANed Spring Meeting on the occasion of the Hans van Houwelingen, with Nina :Deliu, @ThomasKlausch and Zhenwei Yang speaking about Statistical and Machine Learning Methods for Sequential Decision Making.

Heading to Salzburg 🏞️ to present at #SAM2024. Join us in Invited Session 16 (July 10, 09:00) for insights on efficiently integrating high-dimensional data in joint models for longitudinal and time-to-event outcomes. Joint work with Dimitris Rizopoulos and E.R. Andrinopoulou.

Our first invited speaker Dimitris Rizopoulos gave a very insightful talk on how longitudinal data can be modelled via joint models to derive dynamic predictions. His approach is illustrated by estimating metastasis risk for prostate cancer patients based on their PSA history.