Muxuan Liang
Cited by
Cited by
Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach
M Liang, Z Li, T Chen, J Zeng
IEEE/ACM transactions on computational biology and bioinformatics 12 (4 …, 2014
On the effect of electronic patient portal on primary care utilization and appointment adherence
X Zhong, M Liang, R Sanchez, M Yu, PR Budd, JL Sprague, MA Dewar
BMC medical informatics and decision making 18 (1), 1-12, 2018
Characteristics of patients using different patient portal functions and the impact on primary care service utilization and appointment adherence: retrospective observational study
X Zhong, J Park, M Liang, F Shi, PR Budd, JL Sprague, MA Dewar
Journal of medical Internet research 22 (2), e14410, 2020
Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms
M Liang, T Ye, H Fu
Statistics in Medicine 37 (27), 2018
A semiparametric approach to model effect modification
M Liang, M Yu
Journal of the American Statistical Association 117 (538), 752-764, 2022
Risk prediction for heterogeneous populations with application to hospital admission prediction
JD Huling, M Yu, M Liang, M Smith
Biometrics 74 (2), 2018
A computational-based approach to identify estrogen receptor α/β heterodimer selective ligands
CG Coriano, F Liu, CK Sievers, M Liang, Y Wang, Y Lim, M Yu, W Xu
Molecular Pharmacology 93 (3), 197-207, 2018
The Causal Relationship Between Portal Usage and Self-Efficacious Health Information–Seeking Behaviors: Secondary Analysis of the Health Information National Trends Survey Data
J Park, M Liang, JM Alpert, RF Brown, X Zhong
Journal of medical Internet research 23 (1), e17782, 2021
Elastic restricted Boltzmann machines for cancer data analysis
S Zhang, M Liang, Z Zhou, C Zhang, N Chen, T Chen, J Zeng
Quantitative Biology 5 (2), 159-172, 2017
Robust estimation and variable selection for the accelerated failure time model
Y Li, M Liang, L Mao, S Wang
Statistics in Medicine 40 (20), 4473-4491, 2021
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
M Liang, YG Choi, Y Ning, MA Smith, YQ Zhao
Journal of Machine Learning Research 23 (262), 1-65, 2022
Learning a high-dimensional classification rule using auxiliary outcomes
M Liang, X Zhong, J Park
arXiv preprint arXiv:2011.05493, 2020
Relative Contrast Estimation and Inference for Treatment Recommendation
M Liang, M Yu
arXiv preprint arXiv:2010.13904, 2020
Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism
J Park, M Liang, YQ Zhao, X Zhong
arXiv preprint arXiv:2210.09362, 2022
Radioembolization Followed by Transarterial Chemoembolization in Hepatocellular Carcinoma
BU Vardar, E Meram, K Karaoglu, M Liang, M Yu, P Laeseke, OS Ozkan
Cureus 14 (4), 2022
Discussion of Kallus (2020) and Mo et al.(2020)
M Liang, YQ Zhao
Journal of the American Statistical Association 116 (534), 690-693, 2021
Supplemental Materials for “A Semiparametric Approach to Model Effect Modification”
M Liang, M Yu
Subgroup identification and estimation of individualized causal effects in precision medicine
M Liang
The University of Wisconsin-Madison, 2018
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