Works matching AU Fu, Haoda

Results: 65

Evaluation of Efficacy and Safety of the Glucagon Receptor Antagonist LY2409021 in Patients With Type 2 Diabetes: 12- and 24-Week Phase 2 Studies.

Published in:

2016

By:

Kazda, Christof M.;
Ying Ding;
Kelly, Ronan P.;
Garhyan, Parag;
Chunxue Shi;
Chay Ngee Lim;
Haoda Fu;
Watson, David E.;
Lewin, Andrew J.;
Landschulz, William H.;
Deeg, Mark A.;
Moller, David E.;
Hardy, Thomas A.;
Ding, Ying;
Shi, Chunxue;
Lim, Chay Ngee;
Fu, Haoda

Publication type:

journal article

Statistical Issues in Drug Development, 3rd ed.: Stephen Senn, Hoboken, NJ: John Wiley and Sons, Ltd., 2021, xxi+616 pp., $120.00(H), ISBN: 978-1-119-23857-7.

Published in:

2022

By:

Cui, Jie;
Fu, Haoda

Publication type:

Book Review

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

Published in:

Journal of Experimental & Theoretical Artificial Intelligence, 2015, v. 27, n. 4, p. 487, doi. 10.1080/0952813X.2014.977829

By:

Lu, Zhao;
Fu, Haoda;
Song, Gangbing

Publication type:

Article

Deep Neural Networks Guided Ensemble Learning for Point Estimation.

Published in:

Statistics in Biopharmaceutical Research, 2024, v. 16, n. 2, p. 270, doi. 10.1080/19466315.2023.2260776

By:

Tianyu Zhan;
Haoda Fu;
Jian Kang

Publication type:

Article

Statistical Inference on the Estimators of the Adherer Average Causal Effect.

Published in:

Statistics in Biopharmaceutical Research, 2022, v. 14, n. 3, p. 392, doi. 10.1080/19466315.2021.1891965

By:

Zhang, Ying;
Fu, Haoda;
Ruberg, Stephen J.;
Qu, Yongming

Publication type:

Article

A General Framework for Treatment Effect Estimators Considering Patient Adherence.

Published in:

Statistics in Biopharmaceutical Research, 2020, v. 12, n. 1, p. 1, doi. 10.1080/19466315.2019.1700157

By:

Qu, Yongming;
Fu, Haoda;
Luo, Junxiang;
Ruberg, Stephen J.

Publication type:

Article

Erratum. Evaluation of Efficacy and Safety of the Glucagon Receptor Antagonist LY2409021 in Patients With Type 2 Diabetes: 12- and 24-Week Phase 2 Studies. Diabetes Care 2016;39:1241-1249.

Published in:

2017

By:

Kazda, Christof M;
Ding, Ying;
Kelly, Ronan P;
Garhyan, Parag;
Shi, Chunxue;
Lim, Chay Ngee;
Fu, Haoda;
Watson, David E;
Lewin, Andrew J;
Landschulz, William H;
Deeg, Mark A;
Moller, David E;
Hardy, Thomas A

Publication type:

journal article

Response to Comment on Kazda et al. Evaluation of Efficacy and Safety of the Glucagon Receptor Antagonist LY2409021 in Patients With Type 2 Diabetes: 12- and 24-Week Phase 2 Studies. Diabetes Care 2016;39:1241-1249.

Published in:

2016

By:

Kazda, Christof M;
Ding, Ying;
Kelly, Ronan P;
Garhyan, Parag;
Shi, Chunxue;
Lim, Chay Ngee;
Fu, Haoda;
Watson, David E;
Lewin, Andrew J;
Landschulz, William H;
Deeg, Mark A;
Moller, David E;
Hardy, Thomas A

Publication type:

Letter

Evaluation of Efficacy and Safety of the Glucagon Receptor Antagonist LY2409021 in Patients With Type 2 Diabetes: 12- and 24-Week Phase 2 Studies.

Published in:

Diabetes Care, 2016, v. 39, n. 11, p. e199, doi. 10.2337/dci16-0030

By:

Kazda, Christof M.;
Ying Ding;
Kelly, Ronan P.;
Garhyan, Parag;
Chunxue Shi;
Chay Ngee Lim;
Haoda Fu;
Watson, David E.;
Lewin, Andrew J.;
Landschulz, William H.;
Deeg, Mark A.;
Moller, David E.;
Hardy, Thomas A.

Publication type:

Article

Perspectives on Some Controversies in Cardiovascular Disease Risk Assessment in the Pharmaceutical Development of Glucose-Lowering Medications.

Published in:

2016

By:

Hoogwerf, Byron J.;
Manner, David H.;
Fu, Haoda;
Moscarelli, Elena;
Gaydos, Brenda L.;
Heine, Robert J.

Publication type:

journal article

Heterogeneous individual risk modelling of recurrent events.

Published in:

Biometrika, 2021, v. 108, n. 1, p. 183, doi. 10.1093/biomet/asaa053

By:

Ma, Huijuan;
Peng, Limin;
Huang, Chiung-Yu;
Fu, Haoda

Publication type:

Article

Optimal individualized treatment rule for combination treatments under budget constraints.

Published in:

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2024, v. 86, n. 3, p. 714, doi. 10.1093/jrsssb/qkad141

By:

Xu, Qi;
Fu, Haoda;
Qu, Annie

Publication type:

Article

Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens.

Published in:

Journal of the American Statistical Association, 2024, v. 119, n. 548, p. 2622, doi. 10.1080/01621459.2023.2270637

By:

Liu, Mochuan;
Wang, Yuanjia;
Fu, Haoda;
Zeng, Donglin

Publication type:

Article

Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs.

Published in:

Journal of the American Statistical Association, 2024, v. 119, n. 547, p. 2294, doi. 10.1080/01621459.2023.2257364

By:

Yang, Liuqing;
Zhou, Yongdao;
Fu, Haoda;
Liu, Min-Qian;
Zheng, Wei

Publication type:

Article

Query-Augmented Active Metric Learning.

Published in:

Journal of the American Statistical Association, 2023, v. 118, n. 543, p. 1862, doi. 10.1080/01621459.2021.2019045

By:

Deng, Yujia;
Yuan, Yubai;
Fu, Haoda;
Qu, Annie

Publication type:

Article

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

Published in:

Journal of the American Statistical Association, 2023, v. 118, n. 541, p. 305, doi. 10.1080/01621459.2021.1929246

By:

Wu, Yunan;
Wang, Lan;
Fu, Haoda

Publication type:

Article

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

Published in:

Journal of the American Statistical Association, 2022, v. 117, n. 539, p. 1438, doi. 10.1080/01621459.2020.1862671

By:

Xue, Fei;
Zhang, Yanqing;
Zhou, Wenzhuo;
Fu, Haoda;
Qu, Annie

Publication type:

Article

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

Published in:

Journal of the American Statistical Association, 2020, v. 115, n. 530, p. 678, doi. 10.1080/01621459.2018.1529597

By:

Qi, Zhengling;
Liu, Dacheng;
Fu, Haoda;
Liu, Yufeng

Publication type:

Article

Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study.

Published in:

Journal of the American Statistical Association, 2019, v. 114, n. 528, p. 1854, doi. 10.1080/01621459.2018.1527226

By:

Jiang, Fei;
Tian, Lu;
Fu, Haoda;
Hasegawa, Takahiro;
Wei, L. J.

Publication type:

Article

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

Published in:

Journal of the American Statistical Association, 2018, v. 113, n. 521, p. 1, doi. 10.1080/01621459.2017.1303386

By:

Wang, Yuanjia;
Fu, Haoda;
Zeng, Donglin

Publication type:

Article

Risk controlled decision trees and random forests for precision Medicine.

Published in:

Statistics in Medicine, 2022, v. 41, n. 4, p. 719, doi. 10.1002/sim.9253

By:

Doubleday, Kevin;
Zhou, Jin;
Zhou, Hua;
Fu, Haoda

Publication type:

Article

Doubly robust estimation of the weighted average treatment effect for a target population.

Published in:

2019

By:

Tao, Yebin;
Fu, Haoda

Publication type:

journal article

Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms.

Published in:

2018

By:

Liang, Muxuan;
Ye, Ting;
Fu, Haoda

Publication type:

journal article

Quantifying the totality of treatment effect with multiple event-time observations in the presence of a terminal event from a comparative clinical study.

Published in:

2018

By:

Claggett, Brian;
Tian, Lu;
Fu, Haoda;
Solomon, Scott D.;
Wei, Lee‐Jen;
Wei, Lee-Jen

Publication type:

journal article

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

Published in:

2016

By:

Loh, Wei‐Yin;
Fu, Haoda;
Man, Michael;
Champion, Victoria;
Yu, Menggang

Publication type:

journal article

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

Published in:

2016

By:

Fu, Haoda;
Zhou, Jin;
Faries, Douglas E.

Publication type:

journal article

Quantile regression modeling of latent trajectory features with longitudinal data.

Published in:

Journal of Applied Statistics, 2019, v. 46, n. 16, p. 2884, doi. 10.1080/02664763.2019.1620706

By:

Ma, Huijuan;
Peng, Limin;
Fu, Haoda

Publication type:

Article

Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls.

Published in:

Journal of Machine Learning Research, 2024, v. 25, p. 1

By:

Mochuan Liu;
Yuanjia Wang;
Haoda Fu;
Donglin Zeng

Publication type:

Article

Near-optimal Individualized Treatment Recommendations.

Published in:

Journal of Machine Learning Research, 2020, v. 21, n. 146-188, p. 1

By:

Haomiao Meng;
Ying-Qi Zhao;
Haoda Fu;
Xingye Qiao

Publication type:

Article

An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests.

Published in:

Journal of Computational & Graphical Statistics, 2018, v. 27, n. 4, p. 849, doi. 10.1080/10618600.2018.1451337

By:

Doubleday, Kevin;
Zhou, Hua;
Fu, Haoda;
Zhou, Jin

Publication type:

Article

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

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2018, v. 67, n. 4, p. 1047, doi. 10.1111/rssc.12275

By:

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

Publication type:

Article

Stabilized direct learning for efficient estimation of individualized treatment rules.

Published in:

Biometrics, 2023, v. 79, n. 4, p. 2843, doi. 10.1111/biom.13818

By:

Shah, Kushal S.;
Fu, Haoda;
Kosorok, Michael R.

Publication type:

Article

Analysis of recurrent hypoglycemic events.

Published in:

Journal of Biopharmaceutical Statistics, 2021, v. 31, n. 1, p. 5, doi. 10.1080/10543406.2020.1765370

By:

Ma, Chenchen;
Qu, Yongming;
Fu, Haoda

Publication type:

Article

Modeling the impact of preplanned dose titration on delayed response.

Published in:

Journal of Biopharmaceutical Statistics, 2019, v. 29, n. 2, p. 287, doi. 10.1080/10543406.2018.1535499

By:

Qu, Yongming;
Liu, Zhuqing;
Fu, Haoda;
Sethuraman, Shanthi;
Kulkarni, Pandurang M.

Publication type:

Article

Bayesian isotonic regression dose-response model.

Published in:

Journal of Biopharmaceutical Statistics, 2017, v. 27, n. 5, p. 824, doi. 10.1080/10543406.2016.1265535

By:

Li, Wen;
Fu, Haoda

Publication type:

Article

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

Published in:

Journal of Biopharmaceutical Statistics, 2016, v. 26, n. 2, p. 280, doi. 10.1080/10543406.2014.992524

By:

Fu, Haoda;
Luo, Junxiang;
Qu, Yongming

Publication type:

Article

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

Published in:

Journal of Biopharmaceutical Statistics, 2013, v. 23, n. 5, p. 1155, doi. 10.1080/10543406.2013.813520

By:

Zhao, Yang;
Shen, Wei;
Fu, Haoda

Publication type:

Article

Bayesian Adaptive D-Optimal Design with Delayed Responses.

Published in:

Journal of Biopharmaceutical Statistics, 2013, v. 23, n. 3, p. 559, doi. 10.1080/10543406.2012.755996

By:

Li, Jie;
Fu, Haoda

Publication type:

Article

Identifying Potential Adverse Events Dose-Response Relationships Via Bayesian Indirect and Mixed Treatment Comparison Models.

Published in:

Journal of Biopharmaceutical Statistics, 2013, v. 23, n. 1, p. 26, doi. 10.1080/10543406.2013.735761

By:

Fu, Haoda;
Price, KarenL.;
Nilsson, MaryE.;
Ruberg, StephenJ.

Publication type:

Article

Bayesian Optimal Adaptive Designs for Delayed-Response Dose-Finding Studies.

Published in:

Journal of Biopharmaceutical Statistics, 2011, v. 21, n. 5, p. 888, doi. 10.1080/10543406.2011.589642

By:

Li, Wen;
Fu, Haoda

Publication type:

Article

Bayesian Adaptive Dose-Finding Studies with Delayed Responses.

Published in:

Journal of Biopharmaceutical Statistics, 2010, v. 20, n. 5, p. 1055, doi. 10.1080/10543400903315740

By:

Fu, Haoda;
Manner, David

Publication type:

Article

Identifying factors associated with hypoglycemia-related hospitalizations among elderly patients with T2DM in the US: a novel approach using influential variable analysis.

Published in:

Current Medical Research & Opinion, 2014, v. 30, n. 9, p. 1787, doi. 10.1185/03007995.2014.922944

By:

Fu, Haoda;
Xie, Wenting;
Curtis, Brad;
Schuster, Dara

Publication type:

Article

A randomized, cross-over comparison of preference between two reusable insulin pen devices in pen-naïve adults with diabetes.

Published in:

2013

By:

Wong, Mayme;
Abdulnabi, Radhi;
Carey, Michelle A;
Fu, Haoda

Publication type:

Journal Article

Factors associated with clopidogrel use, adherence, and persistence in patients with acute coronary syndromes undergoing percutaneous coronary intervention.

Published in:

2011

By:

Zhu, Baojin;
Zhao, Zhenxiang;
McCollam, Patrick;
Anderson, Johnna;
Bae, Jay P;
Fu, Haoda;
Zettler, Marjie;
Lenarz, Leroy

Publication type:

Journal Article

MULTICATEGORY OUTCOME WEIGHTED MARGIN-BASED LEARNING FOR ESTIMATING INDIVIDUALIZED TREATMENT RULES.

Published in:

Statistica Sinica, 2020, v. 30, n. 4, p. 1857, doi. 10.5705/ss.202017.0527

By:

Chong Zhang;
Jingxiang Chen;
Haoda Fu;
Xuanyao He;
Ying-Qi Zhao;
Yufeng Liu

Publication type:

Article

Evaluating and utilizing probability of study success in clinical development.

Published in:

Clinical Trials, 2013, v. 10, n. 3, p. 407, doi. 10.1177/1740774513478229

By:

Wang, Yanping;
Fu, Haoda;
Kulkarni, Pandurang;
Kaiser, Christopher

Publication type:

Article

Crossover design and its application in late-phase diabetes studies.

Published in:

Journal of Diabetes, 2016, v. 8, n. 5, p. 610, doi. 10.1111/1753-0407.12412

By:

Wang, Tao;
Malone, James;
Fu, Haoda;
Heilmann, Cory;
Qu, Yongming;
Huster, William J.

Publication type:

Article

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

Published in:

Statistics in Medicine, 2015, v. 34, n. 20, p. 2794, doi. 10.1002/sim.6519

By:

Hong, Hwanhee;
Fu, Haoda;
Price, Karen L.;
Carlin, Bradley P.

Publication type:

Article

Detecting outlying trials in network meta-analysis.

Published in:

Statistics in Medicine, 2015, v. 34, n. 19, p. 2695, doi. 10.1002/sim.6509

By:

Zhang, Jing;
Fu, Haoda;
Carlin, Bradley P.

Publication type:

Article

Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors.

Published in:

Statistics in Medicine, 2015, v. 34, n. 19, p. 2743, doi. 10.1002/sim.6516

By:

Duan, Ran;
Fu, Haoda

Publication type:

Article