291 citations · 590 across the 17 of their papers we have counts for
18 papers
Catch me if you can: Signal localization with knockoff e-values
Paula Gablenz, Chiara Sabatti
We consider problems where many, somewhat redundant, hypotheses are tested and we are interested in reporting the most precise rejections, with false discovery rate (FDR) control.…
Transfer learning in genome-wide association studies with knockoffs
Shuangning Li, Zhimei Ren, Chiara Sabatti +1
This paper presents and compares alternative transfer learning methods that can increase the power of conditional testing via knockoffs by leveraging prior information in external…
Searching for consistent associations with a multi-environment knockoff filter
Shuangning Li, Matteo Sesia, Yaniv Romano +2
This paper develops a method based on model-X knockoffs to find conditional associations that are consistent across diverse environments, controlling the false discovery rate. The…
Causal Inference in Genetic Trio Studies
Stephen Bates, Matteo Sesia, Chiara Sabatti +1
We introduce a method to rigorously draw causal inferences---inferences immune to all possible confounding---from genetic data that include parents and offspring. Causal conclusion…
With Malice Towards None: Assessing Uncertainty via Equalized Coverage
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti +1
An important factor to guarantee a fair use of data-driven recommendation systems is that we should be able to communicate their uncertainty to decision makers. This can be accompl…
Rejoinder: "Gene Hunting with Hidden Markov Model Knockoffs"
Matteo Sesia, Chiara Sabatti, Emmanuel J. Candès
In this paper we deepen and enlarge the reflection on the possible advantages of a knockoff approach to genome wide association studies (Sesia et al., 2018), starting from the disc…