no code implementations • 9 Mar 2021 • Etaash Katiyar, Qingyuan Zhao
This short note considers the problem of testing the null hypothesis that the mean values of two multivariate normal variables are proportional.
Statistics Theory Statistics Theory 62H15
1 code implementation • 13 Jul 2020 • Daniel Iong, Qingyuan Zhao, Yang Chen
Existing MR methods usually assume most genetic variants are valid instrumental variables that identify a common causal effect.
Applications Methodology
2 code implementations • 16 Apr 2020 • Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado
We gave a detailed illustration of why some early and highly influential analyses of the COVID-19 pandemic were severely biased.
Applications Methodology
no code implementations • 17 Aug 2015 • Jingshu Wang, Qingyuan Zhao, Trevor Hastie, Art B. Owen
In some of these studies, the multiple testing procedure can be severely biased by latent confounding factors such as batch effects and unmeasured covariates that correlate with both primary variable(s) of interest (e. g. treatment variable, phenotype) and the outcome.
Methodology Statistics Theory Statistics Theory 62H25, 62J15
1 code implementation • 8 Jun 2015 • Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec
Social networking websites allow users to create and share content.
Social and Information Networks Physics and Society Applications 60G55, 62P25 H.2.8
