Liangyuan Hu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Radical Prostatectomy

Clinical Decision Support

Small Cell Lung Cancer

Top Venues

International journal of environmental research and public health

Statistics in medicine

Statistical methods in medical research

This page only lists publications with an associated author ORCID identifier.

Publications

Liangyuan Hu
A new method for clustered survival data: Estimation of treatment effect heterogeneity and variable selection. Biometrical journal. Biometrische Zeitschrift (2023)
Liangyuan Hu, Lihua Li
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series. International journal of environmental research and public health 19 (23) (2022)
Liangyuan Hu, Lihua Li
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series. International journal of environmental research and public health 19 (23) (2022)
Liangyuan Hu, Lihua Li
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series. International journal of environmental research and public health 19 (23) (2022)
Rajwanth Veluswamy, Liangyuan Hu, Cardinale B Smith, Jiayi Ji, Xiaoliang Wang, Juan Wisnivesky, Jose Morillo, Minal S Kale
Immunotherapy Outcomes in Individuals With Non-Small Cell Lung Cancer and Poor Performance Status. JNCI cancer spectrum 6 (2) (2022)
Liangyuan Hu, Lihua Li
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series. International journal of environmental research and public health 19 (23) (2022)
Liangyuan Hu, Lihua Li
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series. International journal of environmental research and public health 19 (23) (2022)
Liangyuan Hu, Jiayi Ji, Hao Liu, Ronald Ennis
A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered Observations. International journal of environmental research and public health 19 (22) (2022)
Liangyuan Hu, Jiayi Ji, Ronald D Ennis, Joseph W Hogan
A flexible approach for causal inference with multiple treatments and clustered survival outcomes. Statistics in medicine 41 (25) (2022)
Liangyuan Hu, Jiayi Ji, Fan Li
Estimating heterogeneous survival treatment effect in observational data using machine learning. Statistics in medicine 40 (21) (2021)
Liangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning. Statistical methods in medical research 30 (12) (2021)
Liangyuan Hu, Jiayi Ji, Yan Li, Bian Liu, Yiyi Zhang
Quantile Regression Forests to Identify Determinants of Neighborhood Stroke Prevalence in 500 Cities in the USA: Implications for Neighborhoods with High Prevalence. Journal of urban health : bulletin of the New York Academy of Medicine 98 (2) (2021)
Liangyuan Hu, Chenyang Gu, Michael Lopez, Jiayi Ji, Juan Wisnivesky
Estimation of causal effects of multiple treatments in observational studies with a binary outcome. Statistical methods in medical research 29 (11) (2020)
Jiayi Ji, Liangyuan Hu, Bian Liu, Yan Li
Identifying and assessing the impact of key neighborhood-level determinants on geographic variation in stroke: a machine learning and multilevel modeling approach. BMC public health 20 (1) (2020)
Liangyuan Hu, Lihua Li, Jiayi Ji, Mark Sanderson
Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach. BMC health services research 20 (1) (2020)
Liangyuan Hu, Joseph W Hogan
Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death. Biometrics 75 (2) (2019)
Liangyuan Hu, Joseph W Hogan, Ann W Mwangi, Abraham Siika
Modeling the causal effect of treatment initiation time on survival: Application to HIV/TB co-infection. Biometrics 74 (2) (2017)