Haoda Fu

发表

A multi-scale non-parametric and parametric hybrid multi-category recognition algorithm with probabilistic outputs

Gangbing Song, Zhao Lu, Haoda Fu, 2015, J. Exp. Theor. Artif. Intell..

Joint Modeling of Clinical Efficacy and Safety with an Application to Diabetes Studies

Wei Shen, Yang Zhao, Haoda Fu, 2013, Journal of biopharmaceutical statistics.

High-dimensional pseudo-logistic regression and classification with applications to gene expression data

Tao Yu, Yuan Jiang, Chunming Zhang, 2007, Comput. Stat. Data Anal..

Learning from Label and Feature Heterogeneity

Jingrui He, Hongxia Yang, Pei Yang, 2014, 2014 IEEE International Conference on Data Mining.

A Simulation Study to Decide the Timing of an Interim Analysis in a Bayesian Adaptive Dose-Finding Studies with Delayed Responses

Haoda Fu, Xiaobi Huang, 2016 .

Joint modeling of progression‐free survival and overall survival by a Bayesian normal induced copula estimation model

Haoda Fu, Jingyi Liu, Yanping Wang, 2013, Statistics in medicine.

Quantile regression modeling of latent trajectory features with longitudinal data

Haoda Fu, Limin Peng, Huijuan Ma, 2019, Journal of applied statistics.

Robust Estimation of the Weighted Average Treatment Effect for A Target Population

Haoda Fu, Yebin Tao, H. Fu, 2018, 1804.05079.

An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests

Hua Zhou, Haoda Fu, Jin Zhou, 2018, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Incorporation of individual‐patient data in network meta‐analysis for multiple continuous endpoints, with application to diabetes treatment

Bradley P Carlin, Haoda Fu, Hwanhee Hong, 2015, Statistics in medicine.

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Jieping Ye, Jingrui He, Hongxia Yang, 2016, ACM Trans. Knowl. Discov. Data.

Multicategory Outcome Weighted Margin-based Learning for Estimating Individualized Treatment Rules.

Yufeng Liu, Haoda Fu, Chong Zhang, 2020, Statistica Sinica.

Identifying risk factors associate with hypoglycemic events

Ran Duan, Haoda Fu, Chenchen Yu, 2014, 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE).

A Bayesian approach to the statistical analysis of device preference studies.

Haoda Fu, Yongming Qu, Baojin Zhu, 2012, Pharmaceutical statistics.

Boosting Algorithms for Estimating Optimal Individualized Treatment Rules pdf

Haoda Fu, Po-Ling Loh, Duzhe Wang, 2020, ArXiv.

On using electronic health records to improve optimal treatment rules in randomized trials

Haoda Fu, Donglin Zeng, Yuanjia Wang, 2020, Biometrics.

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

Fei Xue, Haoda Fu, Yanqing Zhang, 2020, Journal of the American Statistical Association.

Hypoglycemic events analysis via recurrent time-to-event (HEART) models

Haoda Fu, Yongming Qu, Junxiang Luo, 2016, Journal of biopharmaceutical statistics.

Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms

Haoda Fu, Muxuan Liang, Ting Ye, 2018, Statistics in medicine.

Simultaneous variable selection for joint models of longitudinal and survival outcomes

Wanzhu Tu, Haoda Fu, Zhangsheng Yu, 2015, Biometrics.

A unified approach for subgroup identification and individualized treatment recommendation with applications to randomized control trials and observational studies

Jin Zhou, Haoda Fu, Jin Zhou, 2017, Model. Assist. Stat. Appl..

Estimating individualized treatment rules for ordinal treatments

Yufeng Liu, Haoda Fu, Michael R Kosorok, 2017, Biometrics.

Methods and Issues to Consider for Detection of Safety Signals From Spontaneous Reporting Databases: A Report of the DIA Bayesian Safety Signal Detection Working Group

Haoda Fu, A Lawrence Gould, Theodore C Lystig, 2015, Therapeutic innovation & regulatory science.

Piecewise Negative Binomial Regression in Analyzing Hypoglycemic Events with Missing Observations

Haoda Fu, Yongming Qu, Ming Wang, 2014 .

Near-optimal Individualized Treatment Recommendations pdf

Haoda Fu, Ying-Qi Zhao, Xingye Qiao, 2020, J. Mach. Learn. Res..

Guidance on the implementation and reporting of a drug safety Bayesian network meta‐analysis

Bradley P Carlin, Haoda Fu, Jouni Kerman, 2014, Pharmaceutical statistics.

Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta‐analysis

Bradley P. Carlin, Haoda Fu, Hwanhee Hong, 2018 .

Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes

Yufeng Liu, Haoda Fu, Dacheng Liu, 2020, Journal of the American Statistical Association.

Evaluating and utilizing probability of study success in clinical development

Haoda Fu, Christopher Kaiser, Yanping Wang, 2013, Clinical trials.

Bayesian Adaptive D-Optimal Design with Delayed Responses

Haoda Fu, Jie Li, H. Fu, 2013, Journal of biopharmaceutical statistics.

Quantile Regression Modeling of Recurrent Event Risk

Haoda Fu, Chiung-Yu Huang, Limin Peng, 2018 .

Deep Neural Networks Guided Ensemble Learning for Point Estimation in Finite Samples.

Haoda Fu, Tianyu Zhan, Jian Kang, 2021, ArXiv.

High-Dimensional Cost-constrained Regression Via Nonconvex Optimization

Yufeng Liu, Haoda Fu, Guan Yu, 2021, Technometrics.

Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension

Haoda Fu, Yunan Wu, Lan Wang, 2021, Journal of the American Statistical Association.

Statistical Inference on the Estimators of the Adherer Average Causal Effect

Haoda Fu, Yongming Qu, Stephen J. Ruberg, 2021, Statistics in Biopharmaceutical Research.

Heterogeneous Individual Risk Modeling of Recurrent Events.

Haoda Fu, Chiung-Yu Huang, Limin Peng, 2020, Biometrika.

A Multi-scale Nonparametric / Parametric Hybrid Recognition Strategy with Multi-category Posterior Probability Estimation

Haoda Fu, Zhao Lu, Zheng Lu, 2013 .

A General Framework for Treatment Effect Estimators Considering Patient Adherence

Haoda Fu, Yongming Qu, Stephen J. Ruberg, 2020 .

Estimating optimal treatment regimes via subgroup identification in randomized control trials and observational studies

Haoda Fu, H. Fu, D. Faries, 2016, Statistics in medicine.

Risk Factors for Nocturnal Hypoglycemia in Insulin-treated Patients With Type 2 Diabetes: A Secondary Analysis of Observational Data Derived From an Integrated Clinical Trial Database.

Haoda Fu, B. Hoogwerf, H. Fu, 2017, Clinical therapeutics.

Detecting outlying trials in network meta‐analysis

Bradley P Carlin, Haoda Fu, Jing Zhang, 2015, Statistics in medicine.

Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies

Haoda Fu, Donglin Zeng, Yuanjia Wang, 2018, Journal of the American Statistical Association.

Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables

Haoda Fu, Wei-Yin Loh, Menggang Yu, 2016, Statistics in medicine.