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A Bayesian decision-making framework for replication
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AI
DOI：10.1017/S0140525X18000675.png)
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Abstract
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Replication is the cornerstone of science - but when and why? Not all studies need replication, especially when resources are limited. We propose that a decision-making framework based on Bayesian philosophy of science provides a basis for choosing which studies to replicate.
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