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Xihong Lin

@xihonglin.bsky.social
125 followers 24 following 1 posts

Professor of Biostatistics and Statistics, Harvard U, Genomics, ML, Health

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Xihong Lin @xihonglin.bsky.social · 08/03/2026
Our review article on harnessing synthetic data from generative AI for statistical inference. We discuss generative models for synthetic data & their principled use for valid downstream statistical inference, esp when generative models are misspecified. arxiv.org/abs/2603.05396
arxiv.org
Harnessing Synthetic Data from Generative AI for Statistical Inference
The emergence of generative AI models has dramatically expanded the availability and use of synthetic data across scientific, industrial, and policy domains. While these developments open new possibil...
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Reposted by Xihong Lin
Nature Computational Science @natcomputsci.nature.com · 07/02/2025
An accompanying Research Briefing is also available for the paper! www.nature.com/articles/s43... #stats 🖥️ 🧬 🔓https://rdcu.be/d82FR
nature.com
MultiSTAAR delivers multi-trait rare variant analysis of biobank-scale sequencing data - Nature Computational Science
Identifying pleiotropic associations for rare variants in multi-ethnic biobank-scale whole-genome sequencing data poses considerable challenges. This study introduced MultiSTAAR as a scalable and robu...
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Reposted by Xihong Lin
Nature Computational Science @natcomputsci.nature.com · 07/02/2025
📢Out now! @xihonglin.bsky.social, @pnatarajanmd.bsky.social and colleagues present a framework for functionally-informed multi-trait rare variant analysis of biobank-scale sequencing studies. www.nature.com/articles/s43... #stats 🖥️ 🧬 🔓https://rdcu.be/d82Fx
nature.com
A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies - Nature Computational Science
MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits an...
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