Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...
Statistical methods are employed in medical research to estimate effects of treatments or health conditions across populations.1 2 This paper presents a framework to avoid common misinterpretations ...
It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genomewide association studies, a joint null hypothesis of no genetic effect is tested for ...
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