1 citations · 3 across the 8 of their papers we have counts for
9 papers
Power of masking methods for adaptive testing in a multivariate normal means problem
Abhinav Chakraborty, Junu Lee, Eugene Katsevich
Many large-scale testing procedures learn signal structure from the data to boost power. Direct data reuse can inflate Type-I error ("double dipping"), so a common remedy is maskin…
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…
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…
The saddlepoint approximation for averages of conditionally independent random variables
Ziang Niu, Jyotishka Ray Choudhury, Eugene Katsevich
Motivated by the application of saddlepoint approximations to resampling-based statistical tests, we prove that the Lugannani-Rice formula has vanishing relative error when applied…
Saddlepoint approximations for plug-in resampling
Ziang Niu, Zhihan Huang, Jyotishka Ray Choudhury +1
Resampling-based procedures can improve on normal approximations in sparse, large-scale testing problems, but their computational cost can be prohibitive. We recognize that several…
Reconciling model-X and doubly robust approaches to conditional independence testing
Ziang Niu, Abhinav Chakraborty, Oliver Dukes +1
Model-X approaches to testing conditional independence between a predictor and an outcome variable given a vector of covariates usually assume exact knowledge of the conditional di…
Exponential family measurement error models for single-cell CRISPR screens
Timothy Barry, Kathryn Roeder, Eugene Katsevich
CRISPR genome engineering and single-cell RNA sequencing have accelerated biological discovery. Single-cell CRISPR screens unite these two technologies, linking genetic perturbatio…
Filtering the rejection set while preserving false discovery rate control
Eugene Katsevich, Chiara Sabatti, Marina Bogomolov
Scientific hypotheses in a variety of applications have domain-specific structures, such as the tree structure of the International Classification of Diseases (ICD), the directed a…
Multilayer Knockoff Filter: Controlled variable selection at multiple resolutions
Eugene Katsevich, Chiara Sabatti
We tackle the problem of selecting from among a large number of variables those that are 'important' for an outcome. We consider situations where groups of variables are also of in…