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Abstract Details
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Activity Number:
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553
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #304210 |
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Title:
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Recent Advances in Survival Analysis
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Author(s):
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Thomas Scheike*+
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Companies:
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University of Copenhagen
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Address:
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University of Copenhagen , Copenhagen, ,
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Keywords:
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survival data ;
modelling
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Abstract:
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Alternatives to Cox's regression model
Cox's regression model is the standard model in survival analysis, and the model has many nice properties. One can extend Cox's regression model to deal with non-proportional hazards, and simple and useful goodness-of-fit tests exist for the proportionality assumption. In practice it is less common to use some of the alternative models that exist to learn about summaries of the data. I will review some of the available alternative models such as the additive model and combinations of additive and proportional terms. All these models are non-proportional and can thus show us other sides of the data. The additive model in turn provides us with simple and flexible models, that are based on additive excess risk and are thus simple to interpret on the probability scale.
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Authors who are presenting talks have a * after their name.
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