The application of joint longitudinal-survival models to bivariate decision making in clinical trials
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Although multiple endpoints are typically considered in the design and interpretation of clinical trials, decision criteria are usually based on a single primary endpoint. This thesis aims to examine methods for constructing decision criteria using a bivariate endpoint so that decisions can consider joint effects on both the primary and key secondary endpoints. Specifically, decision criteria for the joint effects of a treatment on a survival endpoint and a companion longitudinal endpoint are considered. Bivariate decision criteria are explored based on three different methods for linking ...