期刊
LIFETIME DATA ANALYSIS
卷 10, 期 4, 页码 461-472出版社
SPRINGER
DOI: 10.1007/s10985-004-4778-6
关键词
explained variation; misspecification; predictive accuracy; survival analysis
资金
- NCI NIH HHS [R01-CA54706-07] Funding Source: Medline
When studying a regression model measures of explained variation are used to assess the degree to which the covariates determine the outcome of interest. Measures of predictive accuracy are used to assess the accuracy of the predictions based on the covariates and the regression model. We give a detailed and general introduction to the two measures and the estimation procedures. The framework we set up allows for a study of the effect of misspecification on the quantities estimated. We also introduce a generalization to survival analysis.
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