A patient-perspective health economics model for Stage II oral squamous cell carcinoma (OSCC) is built using R and a continuous-time Markov chain (CTMC) framework. The model simulates a synthetic cohort of 1,000 patients choosing between surgery and definitive radiation therapy, tracking transitions through eight health states. Kaplan-Meier survival curves, progression-free survival, state occupancy probabilities, and Quality-Adjusted Life Years (QALYs) are computed from literature-derived transition probabilities and EQ-5D utility weights. Surgery yields approximately 3.04 QALYs vs. 2.90 for definitive RT over a 60-month horizon, with the advantage driven largely by post-operative surveillance time. The model is presented as a proof-of-concept for patient-focused decision support, not a validated clinical tool.
Table of contents
Overview of the ModelState Diagram for a Continuous Time Markov ChainSynthetic Data SimulationSurvival AnalysisTime Patients Spend in Each Health StateHealth Economic Evaluation — Patient PerspectiveDiscussionTechnical NotesReferencesSort: