2 citations · 2 across the 5 of their papers we have counts for
5 papers
On p-value combination of independent and frequent signals: asymptotic efficiency and Fisher ensemble
Yusi Fang, Chung Chang, George Tseng
Combining p-values to integrate multiple effects is of long-standing interest in social science and biomedical research. In this paper, we focus on revisiting a classical scenario…
Association study between gene expression and multiple phenotypes in omics applications of complex diseases
Yujia Li, Yusi Fang, Peng Liu +1
Studying phenotype-gene association can uncover mechanism of diseases and develop efficient treatments. In complex disease where multiple phenotypes are available and correlated, a…
Heavy-tailed distribution for combining dependent -values with asymptotic robustness
Yusi Fang, George C. Tseng, Chung Chang
The issue of combining individual -values to aggregate multiple small effects is prevalent in many scientific investigations and is a long-standing statistical topic. Many class…
Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
Peng Liu, Yusi Fang, Zhao Ren +2
High-throughput microarray and sequencing technology have been used to identify disease subtypes that could not be observed otherwise by using clinical variables alone. The classic…
Properties of adaptively weighted Fisher's method
Yusi Fang, Shaowu Tang, Zhiguang Huo +2
Meta-analysis is a statistical method to combine results from multiple clinical or genomic studies with the same or similar research problems. It has been widely use to increase st…