Multi-state statistical modeling: a tool to build a lung cancer micro-simulation model that includes parameter uncertainty and patient heterogeneity
Abstract
With the shift towards individualized treatment, cost-effectiveness models need to incorporate patient and tumor characteristics that may be relevant to treatment planning. In this study, we used multi-state statistical modeling to inform a micro-simulation model for cost-effectiveness analysis of individualized radiotherapy in lung cancer. The model tracks clinical events over time and takes patient and tumor features into account.