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Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Abstract Background The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic strategy. Joint models and landmark models have been proposed to compute individual dynamic predictions from repeated measures to one or two markers. However, they …