DETECTING MULTIPLE REPLICATING SIGNALS USING ADAPTIVE FILTERING PROCEDURES.

ABSTRACT: Replicability is a fundamental quality of scientific discoveries: we are interested in those signals that are detectable in different laboratories, different populations, across time etc. Unlike meta-analysis which accounts for experimental variability but does not guarantee replicability, testing a partial conjunction (PC) null aims specifically to identify the signals that are discovered in multiple studies. In many contemporary applications, for example, comparing multiple high-throughput genetic experiments, a large number M of PC nulls need to be tested simultaneously, calling for a multiple comparisons correction. However, standard multiple testing adjustments on the M PC p -values can be severely conservative, especially when M is large and the signals are sparse. We introduce AdaFi

SUBMITTER: Wang J 

PROVIDER: S-EPMC11486506 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature