Comparisons between models from Multiple logistic regression and Artificial neural network analysis. Zi-Hui Tang Juanmei Liu Fangfang Zeng Zhongtao Li Xiaoling Yu Linuo Zhou 10.1371/journal.pone.0070571.t005 https://plos.figshare.com/articles/dataset/_Comparisons_between_models_from_Multiple_logistic_regression_and_Artificial_neural_network_analysis_/764775 <p>Note: Comparison analysis to parameters of LR and ANN models used noninferiority tests; the null hypothesis was parameters of ANN model were inferior to parameters of LR model (as reference). AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negative predictive value.</p> 2013-08-05 04:49:39 Computer applications Applied mathematics Probability theory statistics Biostatistics Statistical methods cardiovascular Endocrinology neurology Non-clinical medicine Evidence-based medicine logistic regression neural