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1. Bootstrapping methods for assessing causality in survival analysis: A case study on major adverse cardiovascular events
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The combination of graphical models with Aalen's additive hazards model, resulting in a model known as dynamical path analysis, permits assessing the effects of different variables on times until an event and decomposing these total effects into direct and indirect effects. This thesis proposes novel bootstrapping methods designed for left-truncated right-censored data, conditional on covariates within the framework of Aalen's additive hazards model, in order to obtain confidence intervals for the estimates. LÄS MER
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