Abstract
Partitioned survival analysis (Part SA) is a useful modelling technique for assessing cost-effectiveness of interventions that impact survival. Part SA models typically comprise of three mutually exclusive health states: progression-free survival (PFS), progressed disease (PD) and death. Incident progression in Part SA models is defined as “proportion of patients who progressed from PFS to PD state during a model cycle”. The current study explores three different methods of estimating incident progression and their implications on cost effectiveness models.
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