In an ideal world, low-cost, powerful, and ethical clinical trials would decide which treatments work best. In the real world,
clinical trials are often too time-consuming, too expensive, unethical, or even impossible to perform. How, then, can we obtain
answers to inform patient care? We need a structured framework that uses the best evidence and captures relevant complexities.
Decision analysis meets these requirements but raises a new question: “How do we decide if we can trust the predictions of
a decision model?”