101. Statistical challenges in the evaluation of surrogate endpoints in randomized trials.
- Author
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Molenberghs G, Buyse M, Geys H, Renard D, Burzykowski T, and Alonso A
- Subjects
- Humans, Models, Statistical, Reproducibility of Results, Endpoint Determination statistics & numerical data, Randomized Controlled Trials as Topic statistics & numerical data
- Abstract
The validation of surrogate endpoints has been studied by Prentice, who presented a definition as well as a set of criteria that are equivalent if the surrogate and true endpoints are binary. Freedman et al. supplemented these criteria with the so-called proportion explained. Buyse and Molenberghs proposed to replace the proportion explained by two quantities: (1). the relative effect, linking the effect of treatment on both endpoints, and (2). the adjusted association, an individual-level measure of agreement between both endpoints. In a multiunit setting, these quantities can be generalized to a trial-level measure of surrogacy and an individual-level measure of surrogacy. In this paper, we argue that such a multiunit approach should be adopted because it overcomes difficulties that necessarily surround validation efforts based on a single trial. These difficulties are highlighted.
- Published
- 2002
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