Jinyuan Liu

Nov 27, 2024 | arxiv.org | ZhiYing Jiang |Long Ma |Jinyuan Liu |Xin Fan

Oct 12, 2024 | biorxiv.org | Ming Chen |Tanya Nguyen |Jinyuan Liu

AbstractIn causal mediation analyses, of interest are the direct or indirect pathways from exposure to an outcome variable. For observation studies, massive baseline characteristics are collected as potential confounders to mitigate selection bias, possibly approaching or exceeding the sample size. Accordingly, flexible machine learning approaches are promising in filtering a subset of relevant confounders, along with estimation using the efficient influence function to avoid overfitting.

Oct 12, 2024 | biorxiv.org | Ming Chen |Tanya Nguyen |Jinyuan Liu

AbstractIn causal mediation analyses, of interest are the direct or indirect pathways from exposure to an outcome variable. For observation studies, massive baseline characteristics are collected as potential confounders to mitigate selection bias, possibly approaching or exceeding the sample size. Accordingly, flexible machine learning approaches are promising in filtering a subset of relevant confounders, along with estimation using the efficient influence function to avoid overfitting.

Mar 4, 2024 | biorxiv.org | Xuan He |Jiajing Jiang |Guo Li |Jinyuan Liu

AbstractA highly transmissible SARS-CoV-2 variant JN.1 is rapidly spreading throughout the nation, becoming the predominant strain in China and worldwide. However, the current immunity against the circulating JN.1 at population level has yet to be fully evaluated. We recruited representative cohorts with stratified age groups and diverse combinations of vaccination and/or infection in recent months, and promptly assessed humoral immunity for these subjects predominantly exhibiting hybrid immunity.

Dec 31, 2023 | arxiv.org | Yang Zou |Jinyuan Liu |ZhiYing Jiang |Long Ma