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Information-Theoretic Approach for Two Continuous Endpoints

The information-theoretic approach for two continuous endpoints was applied to the ARMD data in Section 2.2.1. The function FixedContContIT was used to estimate both individual- and trial-level surrogacy in the following way:

Sur

Trial.ID=Center, Weighted=TRUE,

Pat.ID=Id, Model="Reduced", Number.Bootstraps=500,Seed=1)

FIGURE 14.5

Age-Related Macular Degeneration Trial. Analysis using the information- theoretic approach for two continuous endpoints.

An identical model can be fitted using the Surrogate Shiny App. Figure 14.1 shows the specification of the variables for the ARMD data in the data loading screen of the surrogate app. Note that this specification is identical to the one used in the previous section because both examples use the same data. Figure 14.5 presents the output. The number of bootstrap samples (Number.Bootstraps=500) and the seed (Seed=l) are specified in the left panel in Figure 14.5. As shown in Chapter 10, for the ARMD data, trial-level surrogacy and individual-level surrogacy measures are equal to R^t = 0.6788 (0.4655-0.8338) and R2h = 0.5297 (0.4876-0.5718), respectively.

 
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