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Jiayi Ji

Showing results (1-10 of 80) with videos related to

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The R Journal|September 23, 2024
CIMTx: An R Package for Causal Inference with Multiple Treatments using Observational DataLianyuan Hu, Jiayi Ji
Journal of the American Statistical Association|July 6, 2023
<i>iProMix</i>: A mixture model for studying the function of ACE2 based on bulk proteogenomic dataXiaoyu Song, Jiayi Ji, Pei Wang
Preventive Medicine Reports|November 23, 2020
Machine learning to identify and understand key factors for provider-patient discussions about smokingLiangyuan Hu, Lihua Li, Jiayi Ji
Statistics in Medicine|June 11, 2021
Estimating heterogeneous survival treatment effect in observational data using machine learningLiangyuan Hu, Jiayi Ji, Fan Li
BMC Health Services Research|November 24, 2020
Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approachLiangyuan Hu, Lihua Li, Jiayi Ji, et al.
International Journal of Environmental Research and Public Health|November 26, 2022
A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered ObservationsLiangyuan Hu, Jiayi Ji, Hao Liu, et al.
Journal of the American Heart Association|November 3, 2020
Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood LevelLiangyuan Hu, Bian Liu, Jiayi Ji, et al.
Systematic Biology|May 27, 2025
Inference of Cross-Species Gene Flow Using Genomic Data Depends on the Methods: Case Study of Gene Flow in DrosophilaJiayi Ji, Thomas Roberts, Tomáš Flouri, et al.
Statistical Methods in Medical Research|October 26, 2021
Variable selection with missing data in both covariates and outcomes: Imputation and machine learningLiangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji
Molecular Biology and Evolution|August 18, 2025
The Impact of Sequencing and Genotyping Errors on Bayesian Analysis of Genomic Data under the Multispecies Coalescent ModelJiayi Ji, Paschalia Kapli, Tomáš Flouri, et al.
Pageof 8

Showing results (1-10 of 80) with videos related to

Sort By:
Pageof 8
The R Journal|September 23, 2024
CIMTx: An R Package for Causal Inference with Multiple Treatments using Observational DataLianyuan Hu, Jiayi Ji
Journal of the American Statistical Association|July 6, 2023
<i>iProMix</i>: A mixture model for studying the function of ACE2 based on bulk proteogenomic dataXiaoyu Song, Jiayi Ji, Pei Wang
Preventive Medicine Reports|November 23, 2020
Machine learning to identify and understand key factors for provider-patient discussions about smokingLiangyuan Hu, Lihua Li, Jiayi Ji
Statistics in Medicine|June 11, 2021
Estimating heterogeneous survival treatment effect in observational data using machine learningLiangyuan Hu, Jiayi Ji, Fan Li
BMC Health Services Research|November 24, 2020
Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approachLiangyuan Hu, Lihua Li, Jiayi Ji, et al.
International Journal of Environmental Research and Public Health|November 26, 2022
A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered ObservationsLiangyuan Hu, Jiayi Ji, Hao Liu, et al.
Journal of the American Heart Association|November 3, 2020
Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood LevelLiangyuan Hu, Bian Liu, Jiayi Ji, et al.
Systematic Biology|May 27, 2025
Inference of Cross-Species Gene Flow Using Genomic Data Depends on the Methods: Case Study of Gene Flow in DrosophilaJiayi Ji, Thomas Roberts, Tomáš Flouri, et al.
Statistical Methods in Medical Research|October 26, 2021
Variable selection with missing data in both covariates and outcomes: Imputation and machine learningLiangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji
Molecular Biology and Evolution|August 18, 2025
The Impact of Sequencing and Genotyping Errors on Bayesian Analysis of Genomic Data under the Multispecies Coalescent ModelJiayi Ji, Paschalia Kapli, Tomáš Flouri, et al.
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