Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics.

Using this approach, JoineRML identified 10 proteins with nominally significant association with the disease risk (Wald test p < 0.05), of which two had measurements from at least five individuals in both classes and AUROC >0.75 in at least the two last evaluation points (Figure 4a ).

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