Year: 2025
Type: article
Abstract: When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature. For example, RNA nanocapsules can be partitioned based on the therapeutic nucleic acids (siRNAs) being used, as well as the delivery nanocapsules. When selecting effective RNA nanocapsules, simultaneous false discovery rate control at multiple partition levels is needed. In this paper, we develop hypothesis testing procedures which control the false discovery rate (FDR) simultaneously for multiple partitions of hypotheses in an online fashion. We provide rigorous proofs for their FDR or modified FDR (mFDR) control properties and use extensive simulations to demonstrate their performances.
Source: Mathematics
DOI: 10.3390/math13121937
Authors: Runqiu Wang, Ran Dai
Institution: University of Nebraska Medical Center
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
Awards: G3526771996, G7078062614
OpenAlex ID: W4411218004