483 citations · 1.3k across the 30 of their papers we have counts for
7 papers · 1 filter
Heritability: A Counterfactual Perspective
Haochen Lei, Jieru Shi, Hongyuan Cao +1
Heritability is a central concept in the long-standing debate about nature versus nurture in biological and social sciences. However, existing notions of heritability are based on…
A note on post-treatment selection in studying racial discrimination in policing
Qingyuan Zhao, Luke J Keele, Dylan S Small +1
We discuss some causal estimands used to study racial discrimination in policing. A central challenge is that not all police-civilian encounters are recorded in administrative data…
A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization
Daniel Iong, Qingyuan Zhao, Yang Chen
Mendelian Randomization (MR) is a popular method in epidemiology and genetics that uses genetic variation as instrumental variables for causal inference. Existing MR methods usuall…
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado +1
The coronavirus disease 2019 (COVID-19) has quickly grown from a regional outbreak in Wuhan, China to a global pandemic. Early estimates of the epidemic growth and incubation perio…
ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
Hyunseung Kang, Yang Jiang, Qingyuan Zhao +1
We present a comprehensive R software ivmodel for analyzing instrumental variables with one endogenous variable. The package implements a general class of estimators called k- clas…
Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization
Qingyuan Zhao, Yang Chen, Jingshu Wang +1
Two-sample summary-data Mendelian randomization (MR) has become a popular research design to estimate the causal effect of risk exposures. With the sample size of GWAS continuing t…
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
Qingyuan Zhao, Jingshu Wang, Gibran Hemani +2
Mendelian randomization (MR) is a method of exploiting genetic variation to unbiasedly estimate a causal effect in presence of unmeasured confounding. MR is being widely used in ep…