This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters’ preference for randomization, and...

Recent political events have thrust the bulk negotiation of drug prices by Medicare and Medicaid back into the spotlight. Yet, even if politically feasible, there is no clear framework for negotiating prices of new drugs with uncertain target populations—for example, due to imprecise estimates...

This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies...

Recent political events have thrust the bulk negotiation of drug prices by Medicare and Medicaid back into the spotlight. Yet, even if politically feasible, there is no clear framework for negotiating prices of new drugs with uncertain target populations — for example, due to imprecise...

This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies...

Recent political events have thrust the bulk negotiation of drug prices by Medicare and Medicaid back into the spotlight. Yet, even if politically feasible, there is no clear framework for negotiating prices of new drugs with uncertain target populations - for example, due to imprecise estimates...

This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies...

This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for experimenters' preference for randomization, and clarifies...