Ruoqing Zhu
Cited by
Cited by
Reinforcement learning trees
R Zhu, D Zeng, MR Kosorok
Journal of the American Statistical Association 110 (512), 1770-1784, 2015
Lung epithelial and endothelial damage, loss of tissue repair, inhibition of fibrinolysis, and cellular senescence in fatal COVID-19
F D’Agnillo, KA Walters, Y Xiao, ZM Sheng, K Scherler, J Park, S Gygli, ...
Science Translational Medicine 13 (620), eabj7790, 2021
Recursively imputed survival trees
R Zhu, MR Kosorok
Journal of the American Statistical Association 107 (497), 331-340, 2012
Combining biomarkers with EMR data to identify patients in different phases of sepsis
I Taneja, B Reddy, G Damhorst, S Dave Zhao, U Hassan, Z Price, ...
Scientific reports 7 (1), 1-12, 2017
Greedy outcome weighted tree learning of optimal personalized treatment rules
R Zhu, YQ Zhao, G Chen, S Ma, H Zhao
Biometrics 73 (2), 391-400, 2017
Tree based weighted learning for estimating individualized treatment rules with censored data
Y Cui, R Zhu, M Kosorok
Electronic journal of statistics 11 (2), 3927, 2017
Consistency of survival tree and forest models: splitting bias and correction
Y Cui, R Zhu, M Zhou, M Kosorok
arXiv preprint arXiv:1707.09631, 2017
Integrating multidimensional omics data for cancer outcome
R Zhu, Q Zhao, H Zhao, S Ma
Biostatistics 17 (4), 605-618, 2016
Increasing access to state psychiatric hospital beds: Exploring supply-side solutions
EM La, KH Lich, R Wells, AR Ellis, MS Swartz, R Zhu, JP Morrissey
Psychiatric Services 67 (5), 523-528, 2016
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Y Cui, MR Kosorok, E Sverdrup, S Wager, R Zhu
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
Fecal bacteria as biomarkers for predicting food intake in healthy adults
LM Shinn, Y Li, A Mansharamani, LS Auvil, ME Welge, C Bushell, ...
The Journal of nutrition 151 (2), 423-433, 2021
Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer
R Miao, TC Badger, K Groesch, PL Diaz-Sylvester, T Wilson, A Ghareeb, ...
PLoS One 15 (1), e0227707, 2020
Bagging and deep learning in optimal individualized treatment rules
X Mi, F Zou, R Zhu
Biometrics 75 (2), 674-684, 2019
Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection
HM Robison, CA Chapman, H Zhou, CL Erskine, E Theel, T Peikert, ...
Scientific reports 11 (1), 20544, 2021
Identifying gene–environment and gene–gene interactions using a progressive penalization approach
R Zhu, H Zhao, S Ma
Genetic epidemiology 38 (4), 353-368, 2014
Constructing dynamic treatment regimes with shared parameters for censored data
YQ Zhao, R Zhu, G Chen, Y Zheng
Statistics in medicine 39 (9), 1250-1263, 2020
Topic modeling on triage notes with semiorthogonal nonnegative matrix factorization
Y Li, R Zhu, A Qu, H Ye, Z Sun
Journal of the American Statistical Association 116 (536), 1609-1624, 2021
Multivariate computational analysis of biosensor's data for improved CD64 quantification for sepsis diagnosis
U Hassan, R Zhu, R Bashir
Lab on a Chip 18 (8), 1231-1240, 2018
Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis
I Taneja, GL Damhorst, C Lopez‐Espina, SD Zhao, R Zhu, S Khan, ...
Clinical and translational science 14 (4), 1578-1589, 2021
A Parsimonious Personalized Dose Finding Model via Dimension Reduction
W Zhou, R Zhu, D Zeng
Biometrika 108 (3), 643-659, 2021
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