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Subgroup identification based on differential effect search—A recursive partitioning method for establishing response to treatment in patient subpopulations
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Generalized Quantile Tree Method for Subgroup Identification
inferred← citeshttps://doi.org/10.1080/19466315.2015.1059354openalex-snapshot
Personalized Medicine: Four Perspectives of Tailored Medicine
inferred← citeshttps://doi.org/10.1080/19466315.2015.1062044openalex-snapshot
Survey Results on Industry Practices and Challenges in Subgroup Analysis in Clinical Trials
inferred← citeshttps://doi.org/10.1080/19466315.2016.1251490openalex-snapshot
Comparing Approaches to Treatment Effect Estimation for Subgroups in Clinical Trials
inferred← citeshttps://doi.org/10.1080/19466315.2017.1371069openalex-snapshot
Subgroup Identification in Clinical Trials by Stochastic SIDEScreen Methods
inferred← citeshttps://doi.org/10.1080/19466315.2021.1972832openalex-snapshot
Value Function Guided Subgroup Identification via Gradient Tree Boosting: A Framework to Handle Multiple Outcomes for Optimal Treatment Recommendation
inferred← citeshttps://doi.org/10.1080/19466315.2025.2587047openalex-snapshot
Evaluation of Machine Learning Approaches for Estimating Individualized Treatment Regimens for Time-to-Event Outcomes in Observational Studies
inferred← citeshttps://doi.org/10.1080/24709360.2020.1724003openalex-snapshot
Evaluating heterogeneity of treatment effects
inferred← citeshttps://doi.org/10.1093/bioinformatics/bty357openalex-snapshot
Distinguishing prognostic and predictive biomarkers: an information theoretic approach
inferred← citeshttps://doi.org/10.1093/biomet/asv028openalex-snapshot
Tree-based methods for individualized treatment regimes
inferred← citeshttps://doi.org/10.1093/biomtc/ujae169openalex-snapshot
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data
inferred← citeshttps://doi.org/10.1093/biomtc/ujag043openalex-snapshot
SIMBA–a Bayesian decision framework for the identification of optimal biomarker subgroups for cancer basket clinical trials
inferred← citeshttps://doi.org/10.1093/biostatistics/kxaa021openalex-snapshot
Depth importance in precision medicine (DIPM): a tree- and forest-based method for right-censored survival outcomes
inferred← citeshttps://doi.org/10.1093/biostatistics/kxaa055openalex-snapshot
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
inferred← citeshttps://doi.org/10.1093/biostatistics/kxu049openalex-snapshot
Simple subgroup approximations to optimal treatment regimes from randomized clinical trial data
inferred← citeshttps://doi.org/10.1093/humrep/deaa369openalex-snapshot
Effect of the oxytocin receptor antagonist nolasiban on pregnancy rates in women undergoing embryo transfer following IVF: analysis of three randomised clinical trials
inferred← citeshttps://doi.org/10.1097/brs.0000000000000231openalex-snapshot
Evaluating the Quality of Subgroup Analyses in Randomized Controlled Trials of Therapist-Delivered Interventions for Nonspecific Low Back Pain
inferred← citeshttps://doi.org/10.1097/ccm.0000000000006371openalex-snapshot
Toward Precision in Critical Care Research: Methods for Observational and Interventional Studies
inferred← citeshttps://doi.org/10.1101/2023.01.27.23285125openalex-snapshot
Subtyping Social Determinants of Health in All of Us : Network Analysis and Visualization Approach
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9872018openalex-snapshot
Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record
inferred← citeshttps://doi.org/10.1109/icmla.2017.00-68openalex-snapshot
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
inferred← citeshttps://doi.org/10.1111/biom.12038openalex-snapshot
Treatment Benefit and Treatment Harm Rate to Characterize Heterogeneity in Treatment Effect
inferred← citeshttps://doi.org/10.1111/biom.12322openalex-snapshot
Regularized outcome weighted subgroup identification for differential treatment effects
inferred← citeshttps://doi.org/10.1111/biom.12522openalex-snapshot
A Bayesian Credible Subgroups Approach to Identifying Patient Subgroups with Positive Treatment Effects
inferred← citeshttps://doi.org/10.1111/biom.12593openalex-snapshot
Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules
inferred← citeshttps://doi.org/10.1111/biom.12613openalex-snapshot
A Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medicine
inferred← citeshttps://doi.org/10.1111/biom.12677openalex-snapshot
Bayesian Population Finding with Biomarkers in a Randomized Clinical Trial
inferred← citeshttps://doi.org/10.1111/biom.12811openalex-snapshot
Optimal Treatment Assignment to Maximize Expected Outcome with Multiple Treatments
inferred← citeshttps://doi.org/10.1111/biom.13289openalex-snapshot
A semiparametric Bayesian approach to population finding with time‐to‐event and toxicity data in a randomized clinical trial
inferred← citeshttps://doi.org/10.1111/biom.13514openalex-snapshot
Addressing patient heterogeneity in disease predictive model development
inferred← citeshttps://doi.org/10.1111/biom.13711openalex-snapshot
A General Framework for Subgroup Detection via One-Step Value Difference Estimation
inferred← citeshttps://doi.org/10.1111/bjh.17447openalex-snapshot
Optimal duration of imatinib treatment/deep molecular response for treatment‐free remission after imatinib discontinuation from a Canadian tyrosine kinase inhibitor discontinuation trial
inferred← citeshttps://doi.org/10.1111/cts.13088openalex-snapshot
Pharmacometabolomics identifies candidate predictor metabolites of an L‐carnitine treatment mortality benefit in septic shock
inferred← citeshttps://doi.org/10.1111/insr.12016openalex-snapshot
Fifty Years of Classification and Regression Trees
inferred← citeshttps://doi.org/10.1111/insr.12427openalex-snapshot
Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies
inferred← citeshttps://doi.org/10.1111/rssa.12182openalex-snapshot
Identifying Subgroups of Enhanced Predictive Accuracy from Longitudinal Biomarker Data by Using Tree-Based Approaches: Applications to Fetal Growth
inferred← citeshttps://doi.org/10.1111/rssc.12366openalex-snapshot
Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
inferred← citeshttps://doi.org/10.1145/3156683openalex-snapshot
A Bayesian Approach to Intervention-Based Clustering
inferred← citeshttps://doi.org/10.1145/3368555.3384456openalex-snapshot
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines
inferred← citeshttps://doi.org/10.1146/annurev-statistics-042522-103837openalex-snapshot
A Review of Generalizability and Transportability
inferred← citeshttps://doi.org/10.1158/1078-0432.ccr-17-1558openalex-snapshot
A Randomized, Double-Blind, Placebo-Controlled Phase II Study of the Efficacy and Safety of Monotherapy Ontuxizumab (MORAb-004) Plus Best Supportive Care in Patients with Chemorefractory Metastatic Colorectal Cancer
inferred← citeshttps://doi.org/10.1158/1078-0432.ccr-18-0328openalex-snapshot
Impact of Biomarker-based Design Strategies on the Risk of False-Positive Findings in Targeted Therapy Evaluation
inferred← citeshttps://doi.org/10.1159/000445412openalex-snapshot
Modeling and Prediction in Neurological Disorders: The Biostatistical Perspective
inferred← citeshttps://doi.org/10.1159/000447586openalex-snapshot
Pretreatment Cognitive Profile Likely to Benefit from Donepezil Treatment in Dementia with Lewy Bodies: Pooled Analyses of Two Randomized Controlled Trials
inferred← citeshttps://doi.org/10.1177/0021886318794606openalex-snapshot
Towards Team-Centered Informatics: Accelerating Innovation in Multidisciplinary Scientific Teams Through Visual Analytics
inferred← citeshttps://doi.org/10.1177/0272989x221100717openalex-snapshot
A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial
inferred← citeshttps://doi.org/10.1177/0272989x241289336openalex-snapshot
An Approach for Combining Clinical Judgment with Machine Learning to Inform Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acute Appendicitis in Patients with Multiple Long-Term Conditions
inferred← citeshttps://doi.org/10.1177/0962280215623981openalex-snapshot
Identification of predicted individual treatment effects in randomized clinical trials
inferred← citeshttps://doi.org/10.1177/0962280217708664openalex-snapshot
Evaluating the impact of treating the optimal subgroup
inferred← citeshttps://doi.org/10.1177/0962280217710570openalex-snapshot
A comparative study of subgroup identification methods for differential treatment effect: Performance metrics and recommendations
inferred← citeshttps://doi.org/10.1177/0962280217721782openalex-snapshot
Hierarchical Bayes approach for subgroup analysis
inferred← citeshttps://doi.org/10.1177/0962280217746191openalex-snapshot
Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees
inferred← citeshttps://doi.org/10.1177/0962280218804569openalex-snapshot
Identifying treatment responders using counterfactual modeling and potential outcomes
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