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