Abstract
A variety of weighted effect measures and analysis approaches for composite endpoints were proposed in the literature of which only a few are applicable to composite binary endpoints (Pocock et al., Eur Heart J 33:176–182, 2012; Buyse, Stat Med 29:3245–3257, 2010). Many of these approaches should be applied with care as explored in more detail in Chap. 14. Therefore, in this chapter, an alternative weighted effect measure for a composite binary endpoint will be introduced. As motivated above, an intuitive way to define a weighted effect measure is to extend the standard unweighted effect measure in a reasonable way. For a binary endpoint, the common effect measure is the absolute risk difference. In the remainder of this chapter, a weighted version of this risk difference will be introduced.
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References
Buyse, M. (2010). Generalized pairwise comparisons of prioritized outcomes in the two-sample problem. Statistics in Medicine, 29, 3245–3257.
Pocock, S. J., Ariti, C. A., Collier, T. J., & Wang, D. (2012). The win ratio: A new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. European Heart Journal, 33, 176–182.
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Rauch, G., Schüler, S., Kieser, M. (2017). Weighted Composite Binary Endpoint. In: Planning and Analyzing Clinical Trials with Composite Endpoints. Springer Series in Pharmaceutical Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-73770-6_12
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DOI: https://doi.org/10.1007/978-3-319-73770-6_12
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