Top Tweets for #DAGSTAT
"On the role of data, statistics and decisions in a pandemic" (https://t.co/JAkgOyOrzM) with discussion including @m_hoehle, @wajora, @ViolaPriesemann and @GoeranKauermann #DAGStat @DStatG
Had an amazing time last week at #DAGStat 2022 in Hamburg - a big thank you to the organizers who made it possible against all odds!
I also managed to snag a "Best Poster Award", which made the conference even sweeter :)
Check out the full poster here ⬇️
https://t.co/tMCMdA5geZ
Thanks to our amazing speakers the Young Statisticians Session was a great success🎉Every seat was taken and we are glad to see such a support for our young researchers! #youngscientists #stats #dagstat
#DAGStat BREAKING NEWS: Next conference to be held in Berlin @HumboldtUni @ChariteBerlin @iBiKE_Charite @destatis Looking forward to #DAGStat2025
#DAGStat 2022: This is already the last day of our conference in Hamburg. Unbelievable. It has been an amazing week. THANK YOU 🙏 to the local organisers Antonia Zapf, Martin Spieß, Sven Knoth and their team @UKEHamburg @unihh @HSUHamburg
bye-bye #dagstat, on to the Paris digital economics conference tomorrow. I am loving the Euro conference hoping 🎉🎉
Happy to had the great opportunity to give my first official talk about modeling pseudo-observations in order to predict survival probabilities at the #DAGStat Conference 2022 in Hamburg! Thanks a lot to my great colleagues and my supervisor for supporting me 😊
Thanks to all those who attended our session on prognosis research & IPD meta-analysis at #DAGSTAT 2022 this afternoon
And thanks to Willi Sauerbrei for organising
#dagstat 2022 Göran Kauermann and Walter Radermacher @wajora received DAGStat medals for outstanding contributions to statistics
#dagstat 2022 Statistics in Practice session with Richard Riley @Richard_D_Riley and Gaty Colins @GSCollins on prognosis research in healthcare. Initiatives to improve methodology standards
@GSCollins highlighting the plethora of prediction models published in each disease field
#DAGSTAT 2022
#dagstat 2022 Keynote: An automatic finite-sample robustness metric: Can dropping a little data change conclusions?
by Tamara Broderick
#dagstat 2022 Panel Discussion
„Statistics in science and society: Mind the gap – from theory to practice“ including @wajora @markus_zwick
looking forward to talking about targeted marketing and machine learning at #dagstat tomorrow.
based on recent work with @adamnsmith__ and @Iagg11
Gave my first official talk at an onsite conference on using boosting for polygenic risk scores. Excited about the exchange with other researchers at #DAGStat! 🤗
To all those interested in LDA evaluation - in this case reliability - I would like to recommend our recent preprint https://t.co/snrhq8nZgO, which is under review at KAIS, and on which I will give a presentation at #DAGStat in Hamburg on 03/31/2022. #NLP #NLProc #topicmodel
Saw a really interesting talk by @_MiguelHernan at #dagstat today about causal inference with observational data for covid vaccines (which was necessary due to urgency / sample size issues for RCTs).
One interesting point was complementarity ...
#DAGStat 2022 kicks off with a superb lecture by Miguel Hernan on estimating vaccine effectiveness using observational data @_MiguelHernan
Looking forward to my first in-person conference in a while: #Dagstat in Hamburg. Never been to a stats conference ... let's see how it goes. 🧑🎓
In case anybody is at the conference or in Hamburg (#marketingtwitter, anybody?) please DM me.
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