Yuan Ji

发表

A Bayesian hierarchical model for inference across related reverse phase protein arrays experiments

Riten Mitra, Peter Müller, Yuan Ji, 2014, Journal of applied statistics.

A phase I/II seamless dose escalation/expansion with adaptive randomization scheme (SEARS)

Yuan Ji, Haitao Pan, Fang Xie, 2014, Clinical trials.

A Latent Gaussian Process Model with Application to Monitoring Clinical Trials

Yuan Ji, Yanxun Xu, Yuan Ji, 2014, 1403.7853.

A Bayesian dose finding design for oncology clinical trials of combinational biological agents

Ying Yuan, Yuan Ji, Chunyan Cai, 2014, Journal of the Royal Statistical Society. Series C, Applied statistics.

Modeling Protein Expression and Protein Signaling Pathways

Marc A Suchard, Peter Müller, Yuan Ji, 2012, Journal of the American Statistical Association.

A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics

Peter Müller, Yuan Ji, Yitan Zhu, 2013, Journal of the American Statistical Association.

Distribution Network Planning Method Using Demand Response Resources

Jianlin Yang, Haiqun Wang, Yuan Ji, 2018, 2018 China International Conference on Electricity Distribution (CICED).

Heterogeneous reciprocal graphical models

Yang Ni, Peter Müller, Yuan Ji, 2016, Biometrics.

The i3+3 design for phase I clinical trials

Sue-Jane Wang, Yuan Ji, Meizi Liu, 2020, Journal of biopharmaceutical statistics.

An Aggregator Contract Capacity Optimization Strategy Based on Air Conditioning Behaviors' Uncertainty Modeling

Yichao Huang, Jin Yang, Ciwei Gao, 2018, 2018 China International Conference on Electricity Distribution (CICED).

Clustering distributions with the marginalized nested Dirichlet process.

Peter Müller, Yuan Ji, Yitan Zhu, 2018, Biometrics.

A Nonparametric Bayesian Model for Nested Clustering.

Peter Müller, Yuan Ji, Yitan Zhu, 2016, Methods in molecular biology.

On Differential Gene Expression Using RNA-Seq Data

Peter Müller, Yuan Ji, Juhee Lee, 2011, Cancer informatics.

Reversible Data Hiding in JPEG Images With Multi-Objective Optimization

Bin Luo, Yuan Ji, Zhaoxia Yin, 2019, IEEE Transactions on Circuits and Systems for Video Technology.

BM-Map: an efficient software package for accurately allocating multireads of RNA-sequencing data

Han Liang, Yuan Ji, Kam-Wah Tsui, 2012, BMC Genomics.

Bayesian Hierarchical Model for Differential Gene Expression Using RNA-Seq Data

Peter Müller, Yuan Ji, Juhee Lee, 2015, Statistics in biosciences.

Bayesian Graphical Models for Epigenomic Heterogeneity

Riten Mitra, Yuan Ji, Peter Müller, 2013 .

Bayesian mixture models for complex high dimensional count data in phage display experiments

Yuan Ji, Kim-Anh Do, Kam-Wah Tsui, 2007 .

A decision-theoretic phase I-II design for ordinal outcomes in two cycles.

Peter F Thall, Peter Müller, Yuan Ji, 2016, Biostatistics.

16.5: Atomized scan strategy for high definition OLED microdisplay

Chunyan Zhang, Feng Ran, Yuan Ji, 2018 .

Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity

Peter F Thall, Peter Müller, Yuan Ji, 2015, Journal of the American Statistical Association.

BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA.

Yuan Ji, Yiling Lu, Veerabhadran Baladandayuthapani, 2014, The annals of applied statistics.

BM‐Map: Bayesian Mapping of Multireads for Next‐Generation Sequencing Data

Qiong Zhang, Han Liang, Yuan Ji, 2011, Biometrics.

AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual‐agent dose finding trials

Yuan Ji, Naiqing Zhao, Jiaying Lyu, 2017, Journal of the Royal Statistical Society. Series C, Applied statistics.

Study on Protective Data Flow of Intelligent Substation Based on IEC 61850

Liang Gao, Yuan Ji, 2012 .

Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data

Jeffrey S. Morris, Yuan Ji, Veerabhadran Baladandayuthapani, 2010, Journal of the American Statistical Association.

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Maryellen L. Giger, Elizabeth Burnside, Karen Drukker, 2015, Journal of medical imaging.

PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials

Yuan Ji, Tianjian Zhou, Wentian Guo, 2019 .

Analysis for Planning and Design of Landscape Greening on Shilin-Mile Expressway

Yuan Ji, 2009 .

Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data.

Riten Mitra, Peter Müller, Yuan Ji, 2013, Bayesian analysis.

TCGA-Assembler: open-source software for retrieving and processing TCGA data

Peng Qiu, Yuan Ji, Yitan Zhu, 2014, Nature Methods.

Biomarker-Driven Adaptive Design

Yuan Ji, Peter Müller, Yanxun Xu, 2015 .

Detecting differential patterns of interaction in molecular pathways.

Peter Müller, Yuan Ji, Donatello Telesca, 2015, Biostatistics.

PairClone: a Bayesian subclone caller based on mutation pairs

Yuan Ji, Peter Mueller, Tianjian Zhou, 2017, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Safety Concerns of the 3+3 Design: A Comparison to the mTPI Design

Sue-Jane Wang, Yuan Ji, 2013 .

Scalable Bayesian Nonparametric Clustering and Classification

Yang Ni, Yuan Ji, Yitan Zhu, 2018, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

The i3+3 design for phase I clinical trials.

Sue-Jane Wang, Yuan Ji, Meizi Liu, 2019, Journal of Clinical Oncology.

PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades

Ji Lin, Yuan Ji, Meizi Liu, 2021 .

Lessons Learned from the Bayesian Design and Analysis for the BNT162b2 COVID-19 Vaccine Phase 3 Trial

Yuan Ji, Shijie Yuan, 2021 .

The Ci3+3 design for dual-agent combination dose-finding clinical trials.

Yuan Ji, Shijie Yuan, Tianjian Zhou, 2021, Journal of biopharmaceutical statistics.

Incorporating external data into the analysis of clinical trials via Bayesian additive regression trees

Yuan Ji, Tianjian Zhou, Yuan Ji, 2021, Statistics in medicine.

BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials

Yuan Ji, Sue-Jane Wang, Shijie Yuan, 2021 .

Posterior contraction rate of sparse latent feature models with application to proteomics

Yuan Ji, Kam-Wah Tsui, Tianjian Zhou, 2021, Statistical Theory and Related Fields.

Bayesian Continual Reassessment Method for Dose-Finding Trials Infusing T Cells with Limited Sample Size

Yuan Ji, Ping Liu, Donald Berry, 2012, Journal of biopharmaceutical statistics.

An integrated dose-finding tool for phase I trials in oncology.

Yuan Ji, Sue-Jane Wang, Shengjie Yang, 2015, Contemporary clinical trials.

Monitoring late-onset toxicities in phase I trials using predicted risks.

Peter F Thall, Yuan Ji, Yu Shen, 2008, Biostatistics.

Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data.

Riten Mitra, Peter Müller, Yuan Ji, 2015, Journal of the National Cancer Institute.

A Bayesian interval dose-finding design addressingOckham's razor: mTPI-2.

Yuan Ji, Sue-Jane Wang, Shengjie Yang, 2016, Contemporary clinical trials.

Modified toxicity probability interval design: a safer and more reliable method than the 3 + 3 design for practical phase I trials.

Yuan Ji, Sue-Jane Wang, Sue-Jane Wang, 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Bayesian Dose‐Finding in Phase I/II Clinical Trials Using Toxicity and Efficacy Odds Ratios

Yuan Ji, Guosheng Yin, Yisheng Li, 2006, Biometrics.

Adaptive randomization for multiarm comparative clinical trials based on joint efficacy/toxicity outcomes.

Yuan Ji, B Nebiyou Bekele, 2009, Biometrics.

Dose--schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation.

Yuan Ji, B Nebiyou Bekele, Yisheng Li, 2008, Statistics in medicine.

On the Interval-Based Dose-Finding Designs

Yuan Ji, Shengjie Yang, Shengjie Yang, 2017 .

Bayesian Estimation of Inverse Dose Response

Yuan Ji, Kam-Wah Tsui, Kam-Wah Tsui, 2008, Biometrics.

R-TPI: rolling toxicity probability interval design to shorten the duration and maintain safety of phase I trials

Yuan Ji, Wentian Guo, Daniel Li, 2019, Journal of biopharmaceutical statistics.

Dose-finding in phase I clinical trials based on toxicity probability intervals

Yuan Ji, Yisheng Li, Yuan Ji, 2007, Clinical trials.

A modified toxicity probability interval method for dose-finding trials.

Yuan Ji, Ping Liu, B Nebiyou Bekele, 2010, Clinical trials.

A Bayesian adaptive design for multi-dose, randomized, placebo-controlled phase I/II trials.

Yuan Ji, Fang Xie, Lothar Tremmel, 2012, Contemporary clinical trials.