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  • A well accepted measure of accuracy for diagnostic test is the Receiver Operating Characteristic (ROC) curve. Within the generalized linear model (GLM) binary regression framework, ROC curves can be estimated. In studies of classification accuracy, there are often covariates that should be incorporated into the ROC analysis. One nice feature of ROC-GLM method is that it can be easily extended to adjust covariate effects.
  • A well accepted measure of accuracy for diagnostic test is the Receiver Operating Characteristic (ROC) curve. Within the generalized linear model (GLM) binary regression framework, ROC curves can be estimated. In studies of classification accuracy, there are often covariates that should be incorporated into the ROC analysis. One nice feature of ROC-GLM method is that it can be easily extended to adjust covariate effects. (en)
Title
  • Using the GLM Approach for Comparing ROC Curves
  • Using the GLM Approach for Comparing ROC Curves (en)
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  • Using the GLM Approach for Comparing ROC Curves
  • Using the GLM Approach for Comparing ROC Curves (en)
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  • RIV/00216224:14310/13:00072865!RIV14-MSM-14310___
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  • S
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  • 113180
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  • RIV/00216224:14310/13:00072865
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  • ROC curve; covariates; parametric model; semiparametric model; bi--distributional model; bi--ECD model (en)
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  • [AEB679731FA0]
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  • Bratislava
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  • Bratislava
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  • 12th International Conference on Applied Mathematics APLIMAT 2013
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  • Forbelská, Marie
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  • Slovenská technická univerzita v Bratislave
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  • 9788022738651
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  • 14310
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