In our latest work, we demonstrate that risk estimates for patients are HUGELY uncertain due to model uncertainty, data uncertainty, and population uncertainty. Even when based on large sample sizes. @laure_wynants@ESteyerberg
https://t.co/clSxKPyu1m
We looked at dynamic random forest prediction models for central line-associated bloodstream infections on EHR from @UZLeuven.
We compared binary, multiclass, time-to-event, and competing risk outcome definitions. With @sibipx@laure_wynants
https://t.co/t4RSu5bD7C
Discover our latest research in @BMJMedicine! We conduct a systematic review and meta-analysis of external validations of the ADNEX model for ovarian cancer diagnosis, highlighting areas for methodological reporting improvement.
https://t.co/E95Nq8N2SJ
10 years ago, Prof. David Conesa dined with a group of motivated biostatistics students. Today, we celebrate the continuity of spirit! Once again, the @SEBiostatistics Student Conference was a success!! Proud that my students were part of it! 🤩 Thanks @the_prbb for hosting!!
What a great week at @ISUOG in Seoul!
Really happy and honoured that our work was recognised with the Young Investigator award and best in category for managing ovarian masses 🎉
@ISUOG Extremely honoured to receive such an amazing award from @ISUOG and the Scientific Committee. This could have not been possible without all the work of the collaborators.
See you in #ISUOG2024!
Wrapped up an amazing time at #ISCB44 in Milan! I had the opportunity to present a poster and meet so many great fellow statisticians. See you in #ISCB45!
PREPRINT
1 single clinical risk prediction model
47 external validations
Excellent pooled predictive performance. Despite heterogeneity in performance between settings/countries/centers, demonstrated clinical utility almost everywhere.
Interesting work @BarrenadaLasai
My first tweet for my first preprint! 🎉
Systematic review and meta-analysis of external validations of ADNEX model for ovarian cancer diagnosis.
Including critical appraisal with @TRIPODStatement and #PROBAST.
https://t.co/c4lAeYbCZ8