Liangyuan Hu

Papers

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About

Liangyuan Hu is a biostatistician whose research focuses on causal inference, comparative effectiveness research, and statistical methods for healthcare database studies. Her work addresses critical challenges in estimating treatment effects from observational data, particularly when dealing with multiple treatments and rare outcomes. In her highly cited 2021 paper, "Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes," Hu developed novel statistical approaches that enable more reliable comparisons of multiple interventions in real-world clinical settings where outcomes are infrequent. This methodological contribution has significant implications for evidence-based medicine, allowing researchers to draw more robust conclusions from non-randomized studies. Her research bridges the gap between complex statistical theory and practical applications in health outcomes research, making her work valuable for both methodologists and clinical researchers. With 16 citations to this key paper, Hu's contributions are gaining recognition in the biostatistics community, and her methods are increasingly adopted in pharmacoepidemiology and health services research. Her work continues to shape how researchers analyze complex healthcare data to inform treatment decisions.