Affiliation:
1. Department of Statistics and Operations Research Tel‐Aviv University Israel
2. Department of Statistics University of Pennsylvania Philadelphia, Pennsylvania USA
Abstract
AbstractWe 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.
Funder
Israel Science Foundation
Subject
Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability
Cited by
1 articles.
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