https://www.pafonso.com/
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)
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)
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)
Grateful to the ECFS for the Travel Grant Award.
Grateful to the ECFS for the Travel Grant Award.
📍 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. ☀️
📍 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. ☀️
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
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
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
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
doi.org/10.1002/sim....
doi.org/10.1002/sim....
doi.org/10.1002/sim....
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.
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.