Publications

Statistics

J. Tian, X. Chen, E. Katsevich, J. Goeman, A. Ramdas. Large-scale simultaneous inference under dependence. Preprint. (paper)
E. Katsevich, A. Ramdas. A theoretical treatment of conditional independence testing under Model-X. Preprint. (paper, slides)
M. Liu, E. Katsevich, L. Janson, A. Ramdas. Fast and Powerful Conditional Randomization Testing via Distillation. To appear in Biometrika, 2021. (paper, code)
E. Katsevich, C. Sabatti, M. Bogomolov. Filtering the rejection set while preserving false discovery rate control. Journal of the American Statistical Association, 2021. (paper, code, slides)
E. Katsevich, A. Ramdas. Simultaneous high-probability bounds on the FDP in structured, regression and online settings. Annals of Statistics, 2020. (paper, code, slides)
E. Katsevich, C. Sabatti. Multilayer Knockoff Filter: Controlled variable selection at multiple resolutions. Annals of Applied Statistics, 2019. (paper, code, slides)

J. A. Morris, Z. Daniloski, J. Domingo, T. Barry, M. Ziosi, D. A. Glinos, S. Hao, E. Mimitou, P. Smibert, K. Roeder, E. Katsevich, T. Lappalainen, N. E. Sanjana. Discovery of target genes and pathways of blood trait loci using pooled CRISPR screens and single cell RNA sequencing. Preprint. (paper)
E. Katsevich, T. Barry, K. Roeder. Conditional resampling improves calibration and sensitivity in single-cell CRISPR screen analysis. Preprint. (paper, slides, code, results)
M. Sesia, E. Katsevich, S. Bates, E. Candes, C. Sabatti. Multi-resolution localization of causal variants across the genome. Nature Communications, 2020. (paper, website)
J. Zhu, Q. Zhao, E. Katsevich, C. Sabatti. Exploratory Gene Ontology Analysis with Interactive Visualization. Nature Scientific Reports, 2019. (paper, website)