This workshop will introduce how we could use person-level data to conduct an economic evaluation of a health intervention. Regression techniques can be applied to a health economics analysis and used to estimate incremental cost-effectiveness ratio and incremental net benefit. The use of regression analysis is attractive for a number of reasons such as the fact that it allows the adjustment of potential confounders and the investigation of whether the value for money of health interventions varies across population subgroups. This workshop will illustrate the concepts and potential roles of person-level data in health technology assessment.
The workshop will introduce a method for estimation and uncertainty of cost-effectiveness statistics using person-level data. The focus is on techniques to create and explain economic information from person-level data (e.g., from clinical trials, observational studies, or administrative databases).
This is aimed at participants who are clinicians, researchers and anyone interested in economic evaluation using person-level data.