A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies

arXiv:2404.09353v1 Announce Type: cross
Abstract: We introduce a novel meta-analysis framework to combine dependent tests under a general setting, and utilize it to synthesize various microbiome association tests that are calculated from the same dataset. Our development builds upon the classical meta-analysis methods of aggregating $p$-values and also a more recent general method of combining confidence distributions, but makes generalizations to handle dependent tests. The proposed framework ensures rigorous statistical guarantees, and we provide a comprehensive study and compare it …

abstract analysis applications arxiv association combination dataset development framework general meta meta-analysis microbiome novel stat.ap stat.me stat.ml studies tests type values