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However, current methods ignore some aspects of the definitions of progression\u2010related endpoints. We review those definitions and investigate their impact on modeling the joint distribution. Further, we propose a multi\u2010state model in which the association between the endpoints is modeled through a frailty term. We also argue that interval\u2010censoring needs to be taken into account to more closely match the latent disease evolution. The joint distribution and an expression for Kendall's \u03c4 are derived. The model is applied to data from a clinical trial in advanced metastatic ovarian cancer. 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