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Katsevich-Lab · Sep 17, 2024 · 31d8f92 · 31d8f92
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 Statistics
 -======
 
-- Z. Niu, J. Ray Choudhury, E. Katsevich. Computationally efficient and statistically accurate conditional independence testing with spaCRT. Preprint. ([paper](https://arxiv.org/abs/2407.08911))
+- A. Chakraborty\* , J. Zhang\*, and Eugene Katsevich. Doubly robust and computationally efficient high-dimensional variable selection. Preprint. ([paper](https://arxiv.org/abs/2409.09512), [code](https://github.com/Katsevich-Lab/symcrt2-manuscript))
+- Z. Niu, J. Ray Choudhury, E. Katsevich. Computationally efficient and statistically accurate conditional independence testing with spaCRT. Preprint. ([paper](https://arxiv.org/abs/2407.08911), [code](https://github.com/Katsevich-Lab/spacrt-manuscript))
 - Z. Niu, J. Ray Choudhury, E. Katsevich. The saddlepoint approximation for averages of conditionally independent random variables. Preprint. ([paper](https://arxiv.org/abs/2407.08915))
-- Z. Niu\*, A. Chakraborty\*, O. Dukes, E. Katsevich. *Reconciling model-X and doubly robust approaches to conditional independence testing*. Annals of Statistics, to appear, 2024+. ([paper](https://arxiv.org/abs/2211.14698), [code](https://github.com/Katsevich-Lab/symcrt-manuscript))
+- Z. Niu\*, A. Chakraborty\*, O. Dukes, E. Katsevich. *Reconciling model-X and doubly robust approaches to conditional independence testing*. Annals of Statistics, 2024. ([paper](https://arxiv.org/abs/2211.14698), [code](https://github.com/Katsevich-Lab/symcrt-manuscript))
 - T. Barry, E. Katsevich, K. Roeder. *Exponential family measurement error models for single-cell CRISPR screens*. Biostatistics, 2024. ([paper](https://doi.org/10.1093/biostatistics/kxae010), [code](https://github.com/timothy-barry/glmeiv-manuscript), [results](https://upenn.box.com/v/glmeiv-files-v1))
 - J. Tian, X. Chen, E. Katsevich, J. Goeman, A. Ramdas. *Large-scale simultaneous inference under dependence*. Scandinavian Journal of Statistics, 2022. ([paper](https://doi.org/10.1111/sjos.12614))
 - E. Katsevich, A. Ramdas. *On the power of conditional independence testing under model-X*. Electronic Journal of Statistics, 2022. ([paper](https://arxiv.org/abs/2005.05506), [slides](https://ekatsevi.github.io/files/Katsevich_JSM_2020.pdf))