Integration of RCTs and real-world data through explicit causal frameworks can yield evidence that is internally credible and externally relevant for individualized treatment decisions.
nonparametric identification is not enough, but randomized controlled trials are
2 Pith papers cite this work. Polarity classification is still indexing.
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A review organizes externally controlled trial methodology through causal estimands and identifiability assumptions for single-arm and hybrid designs with borrowing strategies.
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Considerations for the Integration of Randomized Controlled Trials and Real-World Data
Integration of RCTs and real-world data through explicit causal frameworks can yield evidence that is internally credible and externally relevant for individualized treatment decisions.
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Externally Controlled Trials: A Review of Design and Borrowing Through a Causal Lens
A review organizes externally controlled trial methodology through causal estimands and identifiability assumptions for single-arm and hybrid designs with borrowing strategies.