Abstract Details
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Activity Number:
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660
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Type:
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Invited
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Date/Time:
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Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307002 |
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Title:
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Explained Variation in Nonlinear Models with Applications to Survival Analysis
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Author(s):
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Gang Li and Xiaoyan Wang*+
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Companies:
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UCLA and University of California at Los Angeles
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Keywords:
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coefficient of determination ;
right censored data ;
cox's model ;
predictive power
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Abstract:
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The R-squared statistic, or coefficient of determination, is commonly used in linear regression analysis to measure the predictive power of explanatory variables for a response variable. Despite its popularity, a direct equivalent measure is not available for nonlinear regression models. We introduce a general measure of explained variation for nonlinear models and discuss its application to regression models with right censored survival data. Both theoretical and finite-sample properties are investigated. The method is illustrated using an ovarian cancer data.
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Authors who are presenting talks have a * after their name.
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