Abstract Details
Activity Number:
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479
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract #310599
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Title:
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Challenges to Analyzing Survival Data Subject to Biased Sampling
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Author(s):
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Yu Shen*+
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Companies:
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MD Anderson Cancer Center
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Keywords:
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biased sampling ;
right censoring ;
survival outcome ;
regression models
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Abstract:
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Due to the biased sampling scheme, independent censoring assumption is often violated for right-censored survival data. Although the issues about biased inference caused by length-biased sampling have been widely recognized in statistical, epidemiological and economical literature, there is a need to develop efficient regression models for analyzing biased right-censored observations. In this talk, we will discuss some recent development in this area.
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Authors who are presenting talks have a * after their name.
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