In this preprint, led by @nolancole.bsky.social (PhD student in Biostats at UW) and William (Undergrad! in BioSciences at Rice) we demonstrate how annotation choice and quantification method have significant downstream impacts on colocalization and TWAS results www.biorxiv.org/content/10.1...

More great work from Lars at UW!

Thrilled to share our new paper! We introduce a generalized autoDML framework for smooth functionals in general M-estimation problems, significantly broadening the scope of problems where automatic debiasing can be applied!

Lars van der Laan, David Hubbard, Allen Tran, Nathan Kallus, Aur\'elien Bibaut Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference https://arxiv.org/abs/2501.06926