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The Statistical Approach in Trial-based Economic Evaluations Matters: Get your Statistics Together! by Elizabeth Mutubuki; Mohamed El Alili; Judith Bosmans; Teddy Oosterhuis; Frank Snoek; Raymond Ostelo Ostelo; Maurits van Tulder; Johanna van Dongen is a scholarly article available to read on EtoBox.

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## Abstract Background: Baseline imbalances, skewed costs, the correlation between costs and effects, and missing data are statistical challenges that are often not adequately accounted for in the analysis of cost-effectiveness data. This study aims to illustrate the impact of accounting for these statistical challenges in trial-based economic evaluations. Methods: Data from two trial-based economic evaluations, the REALISE and HypoAware studies, were used. In total, 14 full cost-effectiveness analyses were performed per study, in which the four statistical challenges in trial-based economic evaluations were taken into account step-by-step. Statistical approaches were compared in terms of the resulting cost and effect differences, ICERs, and probabilities of cost-effectiveness. Results: In the REALISE study and HypoAware study, the ICER ranged from 636,744€/QALY and 90,989€/QALY when ignoring all statistical challenges to -7,502€/QALY and 46,592€/QALY when accounting for all statistical challenges, respectively. The probabilities of the intervention being cost-effective at 0€/ QALY gained were 0.67 and 0.59 when ignoring all statistical challenges, and 0.54 and 0.27 when all of the

Author

Elizabeth Mutubuki; Mohamed El Alili; Judith Bosmans; Teddy Oosterhuis; Frank Snoek; Raymond Ostelo Ostelo; Maurits van Tulder; Johanna van Dongen

Publisher

Research Square Platform LLC

Published

2021

Language

EN