Zobrazeno 1 - 10
of 431
pro vyhledávání: '"BENJAMINI, YOAV"'
Confidence intervals (CIs) are instrumental in statistical analysis, providing a range estimate of the parameters. In modern statistics, selective inference is common, where only certain parameters are highlighted. However, this selective approach ca
Externí odkaz:
http://arxiv.org/abs/2404.00319
It is a central dogma in science that a result of a study should be replicable. Only 90 of the 190 replications attempts were successful. We attribute a substantial part of the problem to selective inference evident in the paper, which is the practic
Externí odkaz:
http://arxiv.org/abs/2006.11585
Autor:
Frostig, Tzviel, Benjamini, Yoav, Kehat, Orli, Weiss-Meilik, Ahuva, Mandel, Dror, Peleg, Ben, Strauss, Zipora, Mitelpunkt, Alexis
Publikováno v:
In International Journal of Medical Informatics December 2023 180
Autor:
Frostig, Tzviel, Benjamini, Yoav
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 allowing $p > n$. This method is a combination of two well-known tests
Externí odkaz:
http://arxiv.org/abs/1912.10472
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 larger studies can do, but also to establish the consistency of effects
Externí odkaz:
http://arxiv.org/abs/1907.06856
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 select them in the first place. That can make the reported uncertaintie
Externí odkaz:
http://arxiv.org/abs/1906.00505
Autor:
Yamin, Hagar G., Gurevitch, Guy, Gazit, Tomer, Shpigelman, Lavi, Fried, Itzhak, Nir, Yuval, Benjamini, Yoav, Hendler, Talma
Publikováno v:
In iScience 21 April 2023 26(4)
Autor:
Benjamini, Yoav1 (AUTHOR) ybenja@post.tau.ac.il, Heller, Ruth1 (AUTHOR), Krieger, Abba2 (AUTHOR), Rosset, Saharon1 (AUTHOR)
Publikováno v:
Biometrics. Dec2023, Vol. 79 Issue 4, p2794-2797. 4p.
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 the selection of hypotheses which are organized hierarchically in a t
Externí odkaz:
http://arxiv.org/abs/1705.07529
Autor:
Catz, Amiram, Itzkovich, Malka, Elkayam, Keren, Michaeli, Dianne, Gelernter, Ilana, Benjamini, Yoav, Chhabra, Harvinder Singh, Tesio, Luigi, Engel-Haber, Einat, Bizzarini, Emiliana, Pilati, Claudio, Del Popolo, Giulio, Baroncini, Ilaria, Liu, Nan, Margalho, Paulo, Soeira, Thabata Pasquini, Chandy, Bobeena, Joshi, Mrinal, Lemay, Jean-Francois, Curran, Dorothyann, Leiulfsrud, Annelie Schedin, Sørensen, Linda, Biering-Sorensen, Fin, Kesiktas, Nur, Osman, Aheed, Bluvshtein, Vadim
Publikováno v:
In Archives of Physical Medicine and Rehabilitation March 2022 103(3):430-440