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Full-Text Articles in Physical Sciences and Mathematics
Variable Selection In Competing Risks Using The L1-Penalized Cox Model, Xiangrong Kong
Variable Selection In Competing Risks Using The L1-Penalized Cox Model, Xiangrong Kong
Theses and Dissertations
One situation in survival analysis is that the failure of an individual can happen because of one of multiple distinct causes. Survival data generated in this scenario are commonly referred to as competing risks data. One of the major tasks, when examining survival data, is to assess the dependence of survival time on explanatory variables. In competing risks, as with ordinary univariate survival data, there may be explanatory variables associated with the risks raised from the different causes being studied. The same variable might have different degrees of influence on the risks due to different causes. Given a set of …
Direct Adjustment Method On Aalen's Additive Hazards Model For Competing Risks Data, Haci Mustafa Akcin
Direct Adjustment Method On Aalen's Additive Hazards Model For Competing Risks Data, Haci Mustafa Akcin
Mathematics Theses
Aalen’s additive hazards model has gained increasing attention in recently years because it model all covariate effects as time-varying. In this thesis, our goal is to explore the application of Aalen’s model in assessing treatment effect at a given time point with varying covariate effects. First, based on Aalen’s model, we utilize the direct adjustment method to obtain the adjusted survival of a treatment and comparing two direct adjusted survivals, with univariate survival data. Second, we focus on application of Aalen’s model in the setting of competing risks data, to assess treatment effect on a particular type of failure. The …