Daniel Stahl
@danielstahl.bsky.social
Statistician and Data scientist in mental health research
Reposted by Daniel Stahl
PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds)
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
March 24, 2025 at 11:16 AM
PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds)
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
Really proud of this collaboration with many prediction model experts around the world
www.bmj.com/content/388/...
Interested in a career in data science and health informatics? Join the ASMHI MSc at King's College London! 🚀 Hands-on training in applied statistics, machine learning and AI using real-world data 🎯 Gain essential skills for research, healthcare and industry www.kcl.ac.uk/study/postgr...
March 24, 2025 at 8:55 AM
Interested in a career in data science and health informatics? Join the ASMHI MSc at King's College London! 🚀 Hands-on training in applied statistics, machine learning and AI using real-world data 🎯 Gain essential skills for research, healthcare and industry www.kcl.ac.uk/study/postgr...
Reposted by Daniel Stahl
Periodic reminder the world of data analysis cannot be meaningfully categorised into "machine learning" and "statistics". Two cultures with substantial overlap in the use of methods (e.g. logistic regression), analytical goals (e.g. causal inference) and history
jamanetwork.com/journals/jam...
jamanetwork.com/journals/jam...
February 4, 2025 at 8:59 AM
Periodic reminder the world of data analysis cannot be meaningfully categorised into "machine learning" and "statistics". Two cultures with substantial overlap in the use of methods (e.g. logistic regression), analytical goals (e.g. causal inference) and history
jamanetwork.com/journals/jam...
jamanetwork.com/journals/jam...
Reposted by Daniel Stahl
Congratulations to Kate Tchanturia, Professor of Psychology in Eating Disorders @kingsioppn.bsky.social and Consultant Psychologist, who has been awarded an MBE in the New Year Honours List for her services to people with eating disorders and autism: www.kcl.ac.uk/news/new-yea...
January 7, 2025 at 2:58 PM
Congratulations to Kate Tchanturia, Professor of Psychology in Eating Disorders @kingsioppn.bsky.social and Consultant Psychologist, who has been awarded an MBE in the New Year Honours List for her services to people with eating disorders and autism: www.kcl.ac.uk/news/new-yea...
Reposted by Daniel Stahl
Reposted by Daniel Stahl
Introducing PowerLMM.js!
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.
powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below 🧵👇
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.
powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below 🧵👇
December 11, 2024 at 10:20 AM
Introducing PowerLMM.js!
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.
powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below 🧵👇
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.
powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below 🧵👇
Reposted by Daniel Stahl
New work in preprint!
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
arxiv.org
December 16, 2024 at 8:53 AM
New work in preprint!
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288
"Performance evaluation of predictive AI models to support medical decisions: Overview and guidance".
Under the wings of the STRATOS initiative.
But @maartenvsmeden.bsky.social said it better already 😜
arxiv.org/abs/2412.10288