Mahdavi, Maryam
Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
[ 1 ] - Comparison of Bayesian and Frequentist Methods in Estimating the Net Reclassification and Integrated Discrimination Improvement Indices for Evaluation of Prediction Models: Tehran Lipid and Glucose Study
Introduction: The Frequency-based method is commonly used to estimate the Net Reclassification Improvement (NRI)- and Integrated Discrimination Improvement (IDI) indices. These indices measure the magnitude of the performance of statistical models when a new biomarker is added. This method has poor performance in some cases, especially in small samples. In this study, the performance of two Bay...
نویسندگان همکار