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stat.ME2025
The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
Ziang Niu, Jyotishka Ray Choudhury, Eugene Katsevich
Large-scale testing in modern applications such as genomics often entails a trade-off between accuracy and speed: multiplicity corrections push cutoffs deep into the tails, where n…
stat.ME2025
Doubly robust and computationally efficient high-dimensional variable selection
Abhinav Chakraborty, Jeffrey Zhang, Eugene Katsevich
Variable selection can be performed by testing conditional independence (CI) between each predictor and the response, given the other predictors. A doubly robust and powerful optio…
stat.ME2025
The permuted score test for robust differential expression analysis
Timothy Barry, Ziang Niu, Eugene Katsevich +1
Negative binomial (NB) regression is a popular method for identifying differentially expressed genes in genomics data, such as bulk and single-cell RNA sequencing data. However, NB…