Multivariate binary logistic regression models and their according area under the ROC curve (AUC) for prediction of clinicopathological bladder cancer features.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Multivariate_binary_logistic_regression_models_and_their_according_area_under_the_ROC_curve_AUC_for_prediction_of_clinicopathological_bladder_cancer_features_/1165625
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Method: forward feature selection (likelihood ratios).Nagelkerke R-squared: *0.574, °:0.445, +: 0.852, |: 0.244.Hosmer and Lemeshow test: *P = 0.229, °P = 0.901, +P = 0.225, |P = 0.244.Multivariate binary logistic regression models and their according area under the ROC curve (AUC) for prediction of clinicopathological bladder cancer features.
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2015-12-02
