activity
20052024
most citedAn adaptive step-down procedure with proven FDR control under independence

117 citations · 388 across the 21 of their papers we have counts for

collaborators

21 papers

stat.ME2024

Direction Preferring Confidence Intervals

Tzviel Frostig, Yoav Benjamini, Ruth Heller

Confidence intervals (CIs) are instrumental in statistical analysis, providing a range estimate of the parameters. In modern statistics, selective inference is common, where only c…

stat.ME2020★ 2 cited

Time to adjust: Improving replicability in experimental psychology by adjustment for evident selective inference

Yoav Zeevi, Sofi Astashenko, Liad Mudrik +1

The field of psychological sciences has been grappling with the replicability crisis. Various issues have been identified as potential sources of this problem. We bring to light a…

stat.ME2019

Testing the equality of multivariate means when by combining the Hoteling and Simes tests

Tzviel Frostig, Yoav Benjamini

We propose a method of testing the shift between mean vectors of two multivariate Gaussian random variables in a high-dimensional setting incorporating the possible dependency and…

stat.ME2019★ 2 cited

Quantifying replicability and consistency in systematic reviews

Iman Jaljuli, Yoav Benjamini, Liat Shenhav +2

Systematic reviews of interventions are important tools for synthesizing evidence from multiple studies. They serve to increase power and improve precision, in the same way that la…

stat.ME2019★ 8 cited

Confidence Intervals for Selected Parameters

Yoav Benjamini, Yotam Hechtlinger, Philip B. Stark

Practical or scientific considerations often lead to selecting a subset of parameters as ``important.'' Inferences about those parameters often are based on the same data used to s…

stat.ME2017★ 16 cited

Testing hypotheses on a tree: new error rates and controlling strategies

Marina Bogomolov, Christine B. Peterson, Yoav Benjamini +1

We introduce a multiple testing procedure (TreeBH) which addresses the challenge of controlling error rates at multiple levels of resolution. Conceptually, we frame this problem as…