@article{044af9b50d24411f8b1bc5da13a95163,
title = "Discussion on “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun",
abstract = "We discuss three issues. In the first part, we discuss the criteria emphasized by Maurer, Bretz, and Xun, warning that it modifies the per comparison error rate that does not address the concerns raised by multiple testing. In the second part, we strengthen the optimality results developed in the paper, based on our recent results. In the third part, we highlight the potentially important role that the use of weights may have in practice and discuss the difficulties in assigning weights that convey the importance in the gain and loss functions, especially as it pertains to multiple endpoints.",
keywords = "familywise error, most powerful test, multiple end-points, per comparison error-rate, sample size determination, strong control",
author = "Yoav Benjamini and Ruth Heller and Abba Krieger and Saharon Rosset",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Biometrics published by Wiley Periodicals LLC on behalf of International Biometric Society.",
year = "2023",
month = dec,
doi = "10.1111/biom.13906",
language = "אנגלית",
volume = "79",
pages = "2794--2797",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Oxford University Press",
number = "4",
}