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A Risk-Based Approach for Leveraging AI in Clinical Trials
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A Risk-Based Approach for Leveraging AI in Clinical Trials
How to position clinical trials with digital twins for regulatory success
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
Evaluating Digital Twins for Alzheimer’s Disease using Data from a Completed Phase 2 Clinical Trial
Prognostic Covariate Adjustment for Binary Outcomes Using Stratification
Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Bayesian prognostic covariate adjustment
How to position clinical trials with digital twins for regulatory success
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials
Evaluating Digital Twins for Alzheimer’s Disease using Data from a Completed Phase 2 Clinical Trial
Prognostic Covariate Adjustment for Binary Outcomes Using Stratification
Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Bayesian prognostic covariate adjustment
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Reducing Placebo Burden: TwinRCTs and Their Impact on Clinical Trials
Synthetic Control Groups Don’t Work, or: How I Learned to Stop Worrying and Love Randomized Trials
Digital twins in clinical trials: How they work, and how they don’t.
Whitepaper
How to position clinical trials with digital twins for regulatory success
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