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Bayesian Reasoning in Clinical Decision-Making
This chapter explores how Bayesian reasoning is applied to clinical decision-making, focusing on pre-test probabilities and post-test outcomes. By analyzing two patient scenarios with varying levels of risk, it illustrates the impact of calculated probabilities on treatment choices and highlights the challenges of implementing these methods in practice.