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drizopoulos.bsky.social
Dimitris Rizopoulos
@drizopoulos.bsky.social
55 followers 17 following 5 posts
Professor of Biostatistics @ErasmusMC, co-Editor @Biostatistics, Teacher @NIHESnl
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drizopoulos.bsky.social
Dimitris Rizopoulos @drizopoulos.bsky.social · Aug 29
Yes, that’s right.
drizopoulos.bsky.social
Dimitris Rizopoulos @drizopoulos.bsky.social · Aug 29
Both model fitting and interpretation remain the same as before.
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drizopoulos.bsky.social
Dimitris Rizopoulos @drizopoulos.bsky.social · Aug 22
New feature in 📦JMbayes2 supporting different specifications of the baseline hazard function - learn more about it here: drizopoulos.github.io/JMbayes2/art...
Baseline Hazard Function
drizopoulos.github.io
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drizopoulos.bsky.social
Dimitris Rizopoulos @drizopoulos.bsky.social · Jun 16
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...
Dynamic Predictions
drizopoulos.github.io
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drizopoulos.bsky.social
Dimitris Rizopoulos @drizopoulos.bsky.social · Jun 3
Proud of the recent series of papers with my students and colleagues on personalized scheduling intervals and joint models for recurrent and competing risk processes:

doi.org/10.1002/sim....
doi.org/10.1002/sim....
doi.org/10.1002/sim....
doi.org/10.1080/0266...
doi.org
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Reposted by Dimitris Rizopoulos
nerler.bsky.social
Nicole Erler @nerler.bsky.social · May 28
🌟 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
Personalized Biopsy Schedules Using an Interval‐Censored Cause‐Specific Joint Model
Active surveillance (AS), where biopsies are conducted to detect cancer progression, has been acknowledged as an efficient way to reduce the overtreatment of prostate cancer. Most AS cohorts use fixe...
doi.org
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Reposted by Dimitris Rizopoulos
pmafonso.bsky.social
Pedro M Afonso @pmafonso.bsky.social · Apr 27
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....
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 compl...
doi.org
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