Jialiang Li

ResearcherID Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Low Birth Weight

Systemic Sclerosis

Machine Learning

Dna Methylation

Top Venues

Statistics in medicine

Statistical methods in medical research

Journal of medical Internet research

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

Publications

Feng He, Clarissa Ng, Simon Nusinovici, Ching-Yu Cheng, Tien-Yin Wong, Jialiang Li, Sabanayagam Charumathi
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of medical Internet research 26 (2024)
Feng He, Clarissa Ng, Simon Nusinovici, Ching-Yu Cheng, Tien-Yin Wong, Jialiang Li, Sabanayagam Charumathi
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of medical Internet research 26 (2024)
Feng He, Clarissa Ng, Simon Nusinovici, Ching-Yu Cheng, Tien-Yin Wong, Jialiang Li, Sabanayagam Charumathi
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of medical Internet research 26 (2024)
Feng He, Clarissa Ng, Simon Nusinovici, Ching-Yu Cheng, Tien-Yin Wong, Jialiang Li, Sabanayagam Charumathi
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of medical Internet research 26 (2024)
Feng He, Clarissa Ng, Simon Nusinovici, Ching-Yu Cheng, Tien-Yin Wong, Jialiang Li, Sabanayagam Charumathi
Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of medical Internet research 26 (2024)
Loraine Liping Seng, Ching-Ti Liu, Jingli Wang, Jialiang Li
Instrumental variable model average with applications in Mendelian randomization. Statistics in medicine 42 (19) (2023)
Qunqiang Feng, Pan Liu, Pei-Fen Kuan, Fei Zou, Jianan Chen, Jialiang Li
A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers. Statistics in medicine (2023)
Pan Liu, Jialiang Li, Michael R Kosorok
Change plane model averaging for subgroup identification. Statistical methods in medical research (2023)
Jie Ding, Jialiang Li, Yang Han, Ian W McKeague, Xiaoguang Wang
Fitting additive risk models using auxiliary information. Statistics in medicine (2023)
Raju Maiti, Jialiang Li, Priyam Das, Xueqing Liu, Lei Feng, Derek J Hausenloy, Bibhas Chakraborty
A distribution-free smoothed combination method to improve discrimination accuracy in multi-category classification. Statistical methods in medical research (2022)
Bing Wang, Jialiang Li, Xiaoguang Wang
Multi-threshold proportional hazards model and subgroup identification. Statistics in medicine 41 (29) (2022)
Ziqi Geng, Jialiang Li, Yi Niu, Xiaoguang Wang
Goodness-of-fit test for a parametric mixture cure model with partly interval-censored data. Statistics in medicine (2022)
Jialiang Li, Yaguang Li, Baisuo Jin, Michael R Kosorok
Multithreshold change plane model: Estimation theory and applications in subgroup identification. Statistics in medicine 40 (15) (2021)
Bing Wang, Jialiang Li, Xiaoguang Wang
Change point detection in Cox proportional hazards mixture cure model. Statistical methods in medical research 30 (2) (2020)
Sumaiya Z Sande, Jialiang Li, Ralph D'Agostino, Tien Yin Wong, Ching-Yu Cheng
Statistical inference for decision curve analysis, with applications to cataract diagnosis. Statistics in medicine 39 (22) (2020)
Jianping Yang, Pei-Fen Kuan, Jialiang Li
Transformation based on likelihood ratio. Statistical methods in medical research 30 (2) (2020)
Jingli Wang, Jialiang Li, Yaguang Li, Weng Kee Wong
A model-based multithreshold method for subgroup identification. Statistics in medicine 38 (14) (2019)
Jianping Yang, Pei-Fen Kuan, Jialiang Li
Non-monotone transformation of biomarkers to improve diagnostic and screening accuracy in a DNA methylation study with trichotomous phenotypes. Statistical methods in medical research 29 (8) (2019)
Jialiang Li, Mu Yue, Wenyang Zhang
Subgroup identification via homogeneity pursuit for dense longitudinal/spatial data. Statistics in medicine 38 (17) (2019)
Jialiang Li, Ming Gao, Ralph D'Agostino
Evaluating classification accuracy for modern learning approaches. Statistics in medicine 38 (13) (2019)
Jialiang Li, Xiaochao Xia, Weng Kee Wong, David Nott
Varying-coefficient semiparametric model averaging prediction. Biometrics 74 (4) (2018)
Lei Huang, Jialiang Li
Weighted volume under the three-way receiver operating characteristic surface. Statistical methods in medical research 28 (12) (2018)
Mu Yue, Jialiang Li, Shuangge Ma
Sparse boosting for high-dimensional survival data with varying coefficients. Statistics in medicine 37 (5) (2017)
Zhipeng Huang, Jialiang Li, Ching-Yu Cheng, Carol Cheung, Tien-Yin Wong
Bayesian reclassification statistics for assessing improvements in diagnostic accuracy. Statistics in medicine 35 (15) (2016)