7 citations · 13 across the 4 of their papers we have counts for
4 papers
Vaccine efficacy for binary post-infection outcomes under misclassification without monotonicity
Rob Trangucci, Yang Chen, Jon Zelner
In order to meet regulatory approval, pharmaceutical companies often must demonstrate that new vaccines reduce the total risk of a post-infection outcome like transmission, symptom…
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
Rob Trangucci, Yang Chen, Jon Zelner
Characterizing the cumulative burden of COVID-19 by race/ethnicity is of the utmost importance for public health researchers and policy makers in order to design effective mitigati…
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…
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…