Accurate error control in high‐dimensional association testing using conditional false discovery rates
نویسندگان
چکیده
منابع مشابه
Testing Jumps via False Discovery Rate Control
Many recently developed nonparametric jump tests can be viewed as multiple hypothesis testing problems. For such multiple hypothesis tests, it is well known that controlling type I error often makes a large proportion of erroneous rejections, and such situation becomes even worse when the jump occurrence is a rare event. To obtain more reliable results, we aim to control the false discovery rat...
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ژورنال
عنوان ژورنال: Biometrical Journal
سال: 2021
ISSN: 0323-3847,1521-4036
DOI: 10.1002/bimj.201900254