Daniel Gallacher, Felix Achana
In this article, we present a simple-to-use framework for assessing the agreement of cost-effectiveness endpoints generated from different sources of data. The aim of this package is to enable the rapid assessment of routine data for use in cost-effectiveness analyses. By quantifying the comparability of routine data with "gold-standard" trial data, we inform decisions on the suitability of routine data for cost-effectiveness analysis. The rapid identification of informative routine data will increase the opportunity for economic analyses and potentially reduce the cost and burden of collecting patient-reported data in clinical trials.
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