Tutorial in biostatistics: data‐driven subgroup identification and analysis in clinical trials

Cited by (290)

Items 201–290 of 290

1. Subgroup‐adaptive randomization for subgroup confirmation in clinical trials
   Zhongqiang Liu, Xuesi Ma, Zhaoliang Wang · 2020 · Biometrical Journal
2. Set‐regression with applications to subgroup analysis
   Ao Yuan, Lida Wang, Ming Tony Tan · 2021 · Statistics in Medicine
3. Performance Evaluation of a New Prognostic-Efficacy-Combination Design in the Context of Telemedical Interventions
   Mareen Pigorsch, Martin M. Möckel, Stefan Gehrig, Jan C. Wiemer, Friedrich Koehler, Geraldine Rauch · 2022 · ESC Heart Failure
4. Reflections on the concept of optimality of single decision point treatment regimes
   Trung Dung Tran, Ariel Alonso, Geert N. Verbeke, Geert Molenberghs, Iven Van Mechelen · 2023 · Biometrical Journal
5. Exploring differential response to an emergency department-based care transition intervention
   Justine Seidenfeld, Karen M. Stechuchak, Cynthia J. Coffman, Elizabeth P. Mahanna, Micaela N. Gladney, Susan N. Hastings · 2021 · The American Journal of Emergency Medicine
6. Privacy Preserving Analytics on Distributed Medical Data
   Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jarosław Żola · 2018 · arXiv (Cornell University)
7. Sharp Inference on Selected Subgroups in Observational Studies
   Xinzhou Guo, Linqing Wei, Chong Wu, Jingshen Wang · 2021 · arXiv (Cornell University)
8. Random Forest
   Peter M. Calhoun, Xiaogang Su, Kelly M. Spoon, Richard A. Levine, Juanjuan Fan · 2021 · Wiley StatsRef: Statistics Reference Online
9. Investigating Stability in Subgroup Identification for Stratified Medicine
   Gleicy Macedo Hair, Thomas Jemielita, Shahrul Mt‐Isa, Patrick Schnell, Richard Baumgartner · 2024 · Pharmaceutical Statistics
10. Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint
    Marcel Wolbers, Mar Vázquez Rabuñal, Ke Li, Kaspar Rufibach, Daniel Sabanés Bové · 2025 · Statistical Methods in Medical Research
11. Precision medicine evaluation of heterogeneity of treatment effect for a time-to-event outcome with application in a trial of Initial treatment for people living with HIV
    Yu Zheng, Judy Currier, Michael D. Hughes · 2025 · Clinical Trials
12. Towards Precision Medicine with Infrared Molecular Profiles: Identifying and Explaining Subgroups
    Lea Gigou, Kosmas V. Kepesidis, Ferenc Krausz · 2025 · Lecture notes in computer science
13. Hierarchical taxonomy of psychopathology and personalized mental health treatment selection
    Evangelia Argyriou, Christiana J. Prestigiacomo, Douglas B. Samuel, Jesse C. Stewart, Wei Wu, Melissa A. Cyders · 2025 · Frontiers in Psychiatry
14. Explaining Individualized Treatment Rules: Integrating LIME and SHAP With Xgboost in Precision Medicine
    Zihuan Liu, Xin Huang · 2025 · Statistics in Medicine
15. Empirical first- and second-line eradication regimens for Helicobacter pylori adult–infected patients: a National Survey among Italian gastroenterologists and general practitioners
    Luigi Gatta, Carmelo Scarpignato, Angelo Zullo, Walter Marrocco, Alberto Chiriatti, Antonio Grosso, Christian Lambiase, Roberto Vassallo, Pier Luigi Bartoletti, Fabio Monica et al. · 2025 · European Journal of Gastroenterology & Hepatology
16. Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
    David J. Svensson, Erik Hermansson, Νικόλαος Νικολάου, Konstantinos Sechidis, Ilya A. Lipkovich · 2026 · Statistics in Medicine
17. Subgroup Identification by Supervised Clustering Analysis of Disease Outcomes and Biomarkers with Repeated Measurements
    Yicong Mao, Yunhan Mou, Xiang Zhan, Yuan Huang · 2026 · Journal of Systems Science and Complexity
18. Evaluating Potential Subpopulations Using Stochastic SIDEScreen in a Cross-Over Trial
    Ilya A. Lipkovich, Bohdana Ratitch, Bridget A. Martell, Herman Weiss, Alex A. Dmitrienko · 2019 · ICSA book series in statistics
19. Confidence interval estimation for the changepoint of treatment stratification in the presence of a qualitative covariate‐treatment interaction
    Bernhard Haller, Ulrich Mansmann, Dennis Dobler, Kurt Ulm, Alexander Hapfelmeier · 2019 · Statistics in Medicine
20. Finding the best subgroup with differential treatment effect with multiple outcomes
    Beibo Zhao, Jason P. Fine, Anastasia Ivanova · 2024 · Statistics in Medicine
21. Letter to ‘Risk Prediction Models for Frailty in Adult Maintenance Haemodialysis Patients: A Systematic Review and Methodological Appraisal’
    Man Wang, Yuli Li, Guoying Wang · 2025 · Journal of Advanced Nursing
22. Identifying Heterogeneous Treatment Effects of Drug Policy in Quasi-experimental Settings
    Aaron N. Winn, Matthew L. Maciejewski, Stacie B. Dusetzina · 2019 · Current Epidemiology Reports
23. Predictive Subgroup/Biomarker Identification and Machine Learning Methods
    M. Man, T. S. Nguyen, Chakib Battioui, Gu Mi · 2019 · Springer eBooks
24. Exposure–response modelling approaches for determining optimal dosing rules in children
    Ian Wadsworth, Lisa V. Hampson, Björn Bornkamp, Thomas Jaki · 2020 · Statistical Methods in Medical Research
25. Practical Subgroup Identification Strategies in Late-Stage Clinical Trials
    Pierre Bunouf, Alex A. Dmitrienko, Jean‐Marie Grouin · 2020 · Emerging topics in statistics and biostatistics
26. A data-driven examination of which patients follow trial protocol
    Maren K. Olsen, Karen M. Stechuchak, Anna Hung, Eugene Ž. Oddone, Laura J. Damschroder, David E. Edelman, Matthew L. Maciejewski · 2020 · Contemporary Clinical Trials Communications
27. Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction
    Menggang Yu, Chensheng Kuang, Jared D. Huling, Maureen A. Smith · 2021 · The Annals of Applied Statistics
28. Early termination of pivotal trials in Alzheimer's disease—Preserving optimal value for participants and science
    Anton Franz Gietl, Giovanni Battista Frisoni · 2022 · Alzheimer s & Dementia
29. Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity
    Xynthia Kavelaars, Joris Mulder, Maurits Clemens Kaptein · 2024 · Multivariate Behavioral Research
30. Harmonization of Reported Baseline Characteristics Is a Prerequisite for Progress in Acute Respiratory Distress Syndrome Research
    Jenny Juschten, Pieter Roel Tuinman, Harm‐Jan de Grooth · 2023 · Annals of the American Thoracic Society
31. Clinical Trials for Personalized Medicine: Design and Data Analysis
    Shigeyuki Matsui · 2022 · Japanese Journal of Biometrics
32. PRISM: Patient Response Identifiers for Stratified Medicine
    Thomas Jemielita, Devan V. Mehrotra · 2019 · arXiv (Cornell University)
33. Estimation and visualization of treatment effects for multiple outcomes
    Shintaro Yuki, Kensuke Tanioka, Hiroshi Yadohisa · 2021 · arXiv (Cornell University)
34. Identifying Treatment Responders to Varenicline for Alcohol Use Disorder Using Two Machine Learning Approaches
    Erica N. Grodin, Amanda Kay Montoya, Alondra Cruz, Suzanna Donato, Wave‐Ananda Baskerville, Lara A. Ray · 2022
35. A multiple comparison procedure for dose‐finding trials with subpopulations
    Marius Thomas, Björn Bornkamp, Martin Posch, Franz König · 2019 · Biometrical Journal
36. Identifying treatment effect heterogeneity in dose‐finding trials using Bayesian hierarchical models
    Marius Thomas, Björn Bornkamp, Katja Ickstadt · 2021 · Pharmaceutical Statistics
37. Prognostic and Predictive Signatures for Treatment Decisions
    Un Jung Lee, ShengLi Tzeng, Yu‐Chuan Chen, James J. Chen · 2018 · Biomarkers in Medicine
38. Structural modeling using overlapped group penalties for discovering predictive biomarkers for subgroup analysis
    Chong Ma, Wenxuan Deng, Shuangge Ma, Ray Liu, Kevin J. Galinsky · 2019 · arXiv (Cornell University)
39. Using Propensity Scores to Develop and Evaluate Treatment Rules with Observational Data
    Jeremy Roth, Noah Simon · 2019 · arXiv (Cornell University)
40. Reply to: IL-26 and the prognosis of hepatocellular carcinoma after resection
    Zhifeng Xi, Seogsong Jeong, Qiang Xia · 2019 · Hepatobiliary & pancreatic diseases international
41. Encoding Local Contexts of Sentences with Convolutions on pq-Gram Representations of Dependency Trees
    Vu Tran, Le-Minh Nguyen, Ken Satoh · 2018 · International Conference on Knowledge and Systems Engineering/Proceedings
42. Logical Inference on Treatment Efficacy When Subgroups Exist
    Ying Ding, Yue Wei, Xinjun Wang · 2020 · Emerging topics in statistics and biostatistics
43. Subgroup Analysis: A View from Industry
    Oliver N. Keene, Daniel J. Bratton · 2020 · Emerging topics in statistics and biostatistics
44. Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials
    Devan V. Mehrotra, Rachel Marceau West · 2020 · arXiv (Cornell University)
45. Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning
    Cynthia Huber, Norbert Benda, Tim Friede · 2020 · arXiv (Cornell University)
46. A Data-Driven Evaluation Approach for Assessing Student Nurse Training Effectiveness in Clinical Practice Using A Fuzzy Mathematics Model
    Yanmei Liu, Yu‐Wen Chen · 2020 · medRxiv
47. Inference on Heterogeneous Quantile Treatment Effects via Rank-Score Balancing
    Alexander Giessing, Jingshen Wang · 2021 · arXiv (Cornell University)
48. Aspects of causal inference.
    John A Craycroft · 2020
49. Subgroup Analyses in Randomised Controlled Trials Frequently Categorise Continuous Subgroup Information
    S. Faye Williamson, Michael J. Grayling, Adrian Mander, Nurulamin M Noor, Joshua Savage, Christina Yap, James M. S. Wason · 2022 · SSRN Electronic Journal
50. A General Framework for Subgroup Detection via One-Step Value Difference Estimation
    Dana Johnson, Wenbin Lu, Marie Davidian · 2022 · Biometrics
51. Statistical methods for assessing drug interactions and identifying effect modifiers using observational data.
    Qian Xu · 2022
52. Estimation and visualization of heterogeneous treatment effects for multiple outcomes
    Shintaro Yuki, Kensuke Tanioka, Hiroshi Yadohisa · 2022 · Statistics in Medicine
53. A promising subgroup identification method based on a genetic algorithm for censored survival data
    Liang Zhao, Wenjie Zhang, Ying Wu, Lei Cao, Liuying Wang, Kang Li · 2023 · Journal of Biopharmaceutical Statistics
54. Estimation of a treatment effect based on a modified covariates method with L 0 norm
    Kensuke Tanioka, Kaoru Okuda, Satoru Hiwa, Tomoyuki Hiroyasu · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
55. Identification of biomarker-defined populations in precision medicine
    Cynthia Huber · 2023
56. Subgroup Identification in Survival Outcome Data Based on Concordance Probability Measurement
    Shengli An, Peter G. Y. Zhang, Hong‐Bin Fang · 2023 · Mathematics
57. An Evaluation Metric for Prediction Stability with Imprecise Data
    Ye Li, Mei Wang, Jianwen Su · 2023 · Lecture notes in computer science
58. Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models
    Wei Li, Shanshan Luo, Yangbo He, Zhi Geng · 2023 · Statistics in Medicine
59. Covariate-adjusted value-guided subgroup identification via boosting
    Jinchun Zhang, Pingye Zhang, Junshui Ma, Yue Shentu · 2023 · Journal of Biopharmaceutical Statistics
60. Simultaneous subgroup identification and variable selection for high dimensional data
    Hui-Cong Yu, Jiaqi Wu, Weiping Zhang · 2023 · Computational Statistics
61. Estimation of a treatment effect based on a modified covariates method with $$L_0$$ norm
    Kensuke Tanioka, Kaoru Okuda, Satoru Hiwa, Tomoyuki Hiroyasu · 2024 · Artificial Life and Robotics
62. Assessing clinical response in early oncology development with a predictive biomarker
    Shibing Deng, Feng Liu, Jadwiga Renata Bienkowska · 2024 · Journal of Biopharmaceutical Statistics
63. rsides: SIDES-Based Subgroup Search Algorithms
    Alex A. Dmitrienko · 2024
64. Does Remdesivir Lower COVID ‐19 Mortality? A Subgroup Analysis of Hospitalized Adults Receiving Supplemental Oxygen
    Gail E. Potter, Michael A. Proschan · 2024 · Statistics in Medicine
65. Regression Trees With Fused Leaves
    Xiaogang Su, Lei Liu, Lili Liu, Ruiwen Zhou, Guoqiao Wang, Elise Dusseldorp, Tianni Zhou · 2024 · Statistics in Medicine
66. The Implications of Data Augmentation with Proxy Moderators for Generalization
    Wendy Chan, Jimin Oh, Chen Li, Jiexuan Huang, Yeran Tong · 2024 · The Journal of Experimental Education
67. Letter to ‘Risk Prediction Models for Frailty in Adult Maintenance Haemodialysis Patients: A Systematic Review and Methodological Appraisal’
    Xue Chen, Dianpu Zhang · 2025 · Journal of Advanced Nursing
68. Response to Letter: ‘Risk Prediction Models for Frailty in Adult Maintenance Haemodialysis Patients: A Systematic Review and Methodological Appraisal’
    Hong Zhang, Jing Li, Shan Deng · 2025 · Journal of Advanced Nursing
69. Inference with combined data from subgroup selection and validation phases in clinical trials
    Xinzhou Guo, Jianjun Zhou, Xuming He · 2025 · The Annals of Applied Statistics
70. Additional file 1 of Nothing wrong about change: the adequate choice of the dependent variable and design in prediction of cognitive training success
    André Mattes, Mandy Roheger · 2020 · Figshare
71. Additional file 1 of Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso
    Wencan Zhu, Céline Lévy‐Leduc, Nils Ternès · 2023 · Figshare
72. Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression Models
    Yao Chen, Sophie B. Sun, Konstantinos Sechidis, Cong Zhang, Torsten Hothorn, Björn Bornkamp · 2026 · Statistics in Medicine
73. Estimation of the interpretable heterogeneous treatment effect with causal subgroup discovery in survival outcomes
    Na Bo, Ying Ding · 2026 · Lifetime Data Analysis
74. Impact of Treatment Effect Heterogeneity on the Estimation of Individualized Treatment Rules for Count Outcomes
    Xiaotong Jiang, Gabrielle Simoneau, Bora Youn, Fabio Pellegrini, Carl de Moor, Thomas P. A. Debray, Changyu Shen · 2026 · Biometrical Journal
75. Machine learning methods for estimating personalized treatment effects—insights on validity from two large trials
    Hongruyu Chen, Helena Aebersold, Milo Alan Puhan, Miquel Serra‐Burriel · 2026 · American Journal of Epidemiology
76. Contrasting Global and Patient‐Specific Regression Models via a Neural Network Representation
    Max Behrens, Daiana Stolz, Eleni Papakonstantinou, Janis M. Nolde, Gabriele Bellerino, Angelika Rohde, Moritz Hess, Harald Binder · 2026 · Biometrical Journal
77. Subgroup Identification via Multiple Change Point Detection: Methods and Applications
    Yaguang Li, Jingli Wang, Da Zhao, Jialiang Li · 2026 · Wiley Interdisciplinary Reviews Computational Statistics
78. Prise en compte de l'hétérogénéité de la population âgée dans le schéma des essais cliniques de phase II en oncogériatrie
    Bastien Cabarrou · 2019
79. Validation de biomarqueurs prédictifs de la réponse au traitement : extension des courbes de prédictivités à un critère de jugement censuré
    Bassirou Mboup · 2020 · theses.fr (ABES)
80. End-to-End Deep Learning and Subgroup discovery approaches to learn from metagenomics data
    Maxence Queyrel · 2021 · theses.fr (ABES)
81. Dyslexie développementale et méthodes de remédiation : Conception et évaluation d'un programme d'intervention multimodale et multi-componentielle fondé sur les approches phonologique, visuo-attentionnelle et intermodalitaire
    Karine Louna Harrar-Eskinazi · 2023 · theses.fr (ABES)
82. Development of machine learning approaches in precision medicine for the identification of prognostic and predictive biomarkers based on high-dimensional omics data
    Wencan Zhu · 2022
83. Varying Treatment Effects in Subgroups: A Unified Framework for Longitudinal Data Analysis
    P Zhang, Xinsheng Zhang, Jiao Jin, Jiakun Jiang · 2026 · Statistics in Medicine
84. IV-learner: learning conditional average treatment effects using instrumental variables
    Stijn Vansteelandt, Stephen O’Neill, Richard Grieve, Karla Diaz‐Ordaz · 2026 · Biostatistics
85. Determining the cutpoint of a continuous predictive biomarker via Bayesian sensitive subpopulation finding
    Weiran Ye, Satoshi Morita · 2026 · Journal of Biopharmaceutical Statistics
86. Efficient semi-supervised estimation of optimal individualized treatment regimes with survival outcome
    Xintong Li, Minghao Chen, Jialiang Li, Yong Zhou · 2026 · Statistical Methods in Medical Research
87. Cross-sectional study of anxiety–cognition network patterns in rehabilitation patients using network analysis
    Qilin Wang, Jia-Ju Ren, Jin Zhao · 2026 · Medicine
88. Subgroup analysis using exchangeability probabilities
    Shannon D. Thomas, Alexander M. Kaizer · 2026 · Contemporary Clinical Trials
89. Subgroup testing for change-plane Cox models in heterogeneous credit risk data
    Yufeng Li, Panpan Ren, Xiao Zhang, Tingting Qiu, Xu Liu · 2026 · Journal of Statistical Planning and Inference
90. Valid Data‐Driven Subgroup Selection With Uniform Guarantees in Clinical Trials
    Manuel Müller, Björn Bornkamp, Frank Bretz, Timothy I. Cannings, Wei Liu, Henry W. J. Reeve, Richard J. Samworth, Nikolaos Sfikas, Fang Wan, Konstantinos Sechidis · 2026 · Statistics in Medicine