The Problem with Markov Models
Markov models have become a default tool in drug development, used for modeling disease progression, treatment outcomes, and cost-effectiveness. While mathematically elegant, these models are often inadequate for capturing the complexities of drug development, which involve non-linearity, fat-tailed risks, and extreme events.
By relying on memorylessness, Gaussian