Recent advances in high-throughput biotechnologies have provided an unprecedented oppor-tunity for biomarker discovery,which,from a statistical point of view,can be cast as a variable selection proble
This talk will give an overview of the negative control approach for indirect adjustment of unobserved confounding in causal inference from observational data.
To maximize the chance of finding outcome-associated variants,a number of consortia have been formed to conduct meta-analysis integrating results from multiple genome-wide association studies(GWAS).
Optimal tests of detecting weak and sparse signals in big data,such as the Higher Criticism test(HC),Berk-Jones test(B-J),(o) -divergence tests have been shown extra statistical power in detecting nov
We consider the estimation of large covariance and precision matrices from high-dimensional sub-Gaussian observations with slowly decaying temporal dependence that is bounded by certain polynomial dec
Genetic studies of cancer diagnosis and progression have uncovered only a small number of risk markers explaining a small fraction of heritability and adding little improvement to disease risk predict