Ontology highlight
ABSTRACT:
SUBMITTER: Ma R
PROVIDER: S-EPMC8375316 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Ma Rong R Cai T Tony TT Li Hongzhe H
Journal of the American Statistical Association 20200121 534
High-dimensional logistic regression is widely used in analyzing data with binary outcomes. In this paper, global testing and large-scale multiple testing for the regression coefficients are considered in both single- and two-regression settings. A test statistic for testing the global null hypothesis is constructed using a generalized low-dimensional projection for bias correction and its asymptotic null distribution is derived. A lower bound for the global testing is established, which shows t ...[more]