A full Bayesian model to handle structural ones and missingness in economic evaluations from individual ‐level data

We present a general Bayesian framework that can handle the complexity. We show the benefits of using our approach with a motivating exampl e, the MenSS trial, for which there are spikes at one in the effectiveness and missingness in both outcomes. We contrast a set of increasingly complex models and perform sensitivity analysis to assess the robustness of the conclusions to a range of plausible missingness assumptions. We demonstrate the flexibility of our approach with a second example, the PBS trial, and extend the framework to accommodate the characteristics of the data in this study. This paper highlights the importance of adopting a comprehensive modelling approach to economic evaluations and the strategic advantages of bu ilding these complex models within a Bayesian framework.

Source: Statistics in Medicine - November 22, 2018 Category: Statistics Authors: Andrea Gabrio, Alexina J. Mason, Gianluca Baio Tags: RESEARCH ARTICLE Source Type: research