Leveraging machine learning: Covariate-adjusted Bayesian adaptive randomization and subgroup discovery in multi-arm survival trials

Keyphrases

• Accelerated Failure Time Model 50%
• Adaptive Randomization 50%
• Assignment Probabilities 50%
• Bayesian Adaptive Design 50%
• Bayesian Adaptive Randomization 100%
• Bayesian Nonparametric Modeling 50%
• Biomarker Profile 50%
• Causal Effect 50%
• Clinical Trials 50%
• Comprehensive Simulation 50%
• Decision Tree 50%
• Effect Estimates 50%
• Genetic Diversity 50%
• Heterogeneous Patients 50%
• Innovative Trial Design 50%
• Machine Learning 100%
• Medicine Treatment 50%
• Multi-arm 100%
• Multiple Responses 50%
• Optimal Treatment 50%
• Patient Characteristics 50%
• Personalized Medicine 50%
• Random Intercept 50%
• Recent Advances 50%
• Response Decision 50%
• Response-adaptive Design 50%
• Single-arm Trial 50%
• Specific Treatment 50%
• Subgroup Discovery 100%
• Survival Study 100%
• Time-to-event Endpoint 50%
• Treatment Allocation 50%
• Treatment Effect 50%
• Treatment Efficacy 100%
• Treatment Impact 50%
• Treatment Safety 50%

Mathematics

• Arm Trial 33%
• Bayesian 100%
• Causal Effect 33%
• Concludes 33%
• Covariate 100%
• Decision Tree 33%
• Effect Estimate 33%
• Failure Time 33%
• Probability Theory 33%
• Random Intercept 33%
• Treatment Effect 33%
• Trial Design 33%