🎥 I served as the Discussant for Julie Josse's insightful talk at #OCIS: "Causal Alternatives to Meta-Analysis". 📺 Watch the full talk: 🕒 My discussion begins at 47:00.📑 Julie's slides: 📑 My slides:

Learned so much working with Peter Gilbert & team! We develop a causal roadmap using surrogates to fuse RCT + OS data, enabling transportable, bias-corrected treatment effect estimates, and a viable path for provisional approval by the FDA! #RareDiseases.

Happy to share an invited editorial I wrote on how to address distribution shift in clinicial AI settings: Addressing Distribution Shift for Trustworthy Prediction and Causal Inference in Clinical AI Settings

🚀 How do you transport causal effects w/ survival outcomes? We tackle censoring, discr/cont time & distrib shift in our new preprint:."Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift" @YiLiu1998 @alexwlevis @ShuYangStatNCSU .🔗

Happy to share a Federated Adaptive Causal Estimation (FACE) framework to transport causal effects across multiple data sources while preserving individual data privacy!

Learned a lot working on this paper with Zijian Guo, Xiudi Li, and Tianxi Cai! We develop an inferential crowdsourcing framework for the prevailing model, i.e., the one matching the majority of sites, accounting for selection uncertainty via resampling!

Happy to share this editorial on statistical methods to address left truncation in time-to-event studies, which is an underconsidered problem but relevant in modern data integration settings, where fusing studies with different calendar times can introduce left truncation.

RT @NUGlobalNews: How dangerous is #EEE? @Northeastern experts urge caution as mortality rate could exceed 50%. Read more about the danger….

RT @Qu8Annie: My IMS Medallion lecture at this year’s JSM is on YouTube now:

Students looking to submit their papers to the ENAR student paper competition might find this WebENAR helpful! Winners of the Van Ryzin Award from the past 5 years will discuss their winning papers and share advice on the process. More information:

RT @ENAR_ibs: Join #ENAR_ibs next Thursday, July 18, when we host our past 5 #DSPA Van Ryzin winners. Hear their winning presentations and….

RT @mslaylap: #hangzhou #greentea @lhan320

Completely devastated. Grayson was my best friend growing up. He had a heart of pure gold. He was the most talented golfer, but he was humble, too. I hope Grayson's life can inspire many to come to know Jesus Christ. Looking forward to seeing you on the other side, my brother!.

RT @ToddGibsonWNCN: My first story with Grayson Murray was 18 years ago. I shot it for Chad Sokol and he voiced it. Just a young golfer hav….

Happy to share that our work on multi-source conformal inference under distribution shift was accepted to ICML. I will present this work at ACIC tomorrow afternoon -- check it out if you're interested!.

Great opportunity to present your work at the "AI for Reliable and Equitable Real-World Evidence Generation in Medicine" workshop, organized by @Z_Linying! Workshop and submission details here (deadline of May 31, 2024):

RT @robtibshirani: Our new youTube channel:. Comments welcome!.

Our paper on hospital quality measurement via federated learning of causal estimands is now available at the Annals of Applied Statistics:

RT @ZhenkeWu: Happy to have given a guest lecture on “Using GenAI Tools in Statistical Research Workflow” (slides: ….

Thanks for featuring our work, @yuanhypnosluo! If you're interested in federated causal inference, check out our work in NeurIPS 2023: