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Paper
Validation of algorithms in studies based on routinely collected health data: general principles
Determining Real-World Data’s Fitness for Use and the Role of Reliability
Covariate handling approaches in combination with dynamic borrowing for hybrid control studies
Augmenting external control arms using Bayesian borrowing: a case study in first-line non-small cell lung cancer
Augmenting control arms with real-world data for cancer trials: Hybrid control arm methods and considerations
Rationale and design of the DAPA-MI trial: Dapagliflozin in patients without diabetes mellitus with acute myocardial infarction
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Enhancing Longitudinal Clinical Trial Efficiency with Digital Twins and Prognostic Covariate-Adjusted Mixed Models for Repeated Measures (PROCOVA-MMRM)
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