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In the field of statistics known as survival analysis, the time from a starting point to one or several endpoints is analysed. Traditional survival analysis deals with one endpoint, while competing risks theory addresses the situation with multiple endpoints. This thesis gives a theoretical introduction to both methods, emphasising the competing risks setting, which is of great importance in many
