Estimating diagnostic accuracy for clustered ordinal diagnostic groups in the three-class case—Application to the early diagnosis of Alzheimer disease

Mathematics

• Diagnostic Accuracy 100%
• Alzheimer's Disease 92%
• Diagnostics 65%
• Mutation 21%
• Class 19%
• Biomarkers 18%
• Neuroimaging 10%
• Receiver Operating Characteristic 10%
• Precursor 9%
• Clustered Data 9%
• Linear Mixed Model 9%
• Population Genetics 8%
• Normal Population 8%
• Protein 7%
• Missing Data 7%
• Gene 7%
• Statistical Inference 7%
• Family 6%
• Maximum Likelihood Estimation 6%
• Covariates 6%
• Fluid 5%
• Methodology 5%
• Simulation Study 5%
• Partial 4%
• Model 4%
• Performance 4%
• Estimate 3%
• Form 2%

Medicine & Life Sciences

• Early Diagnosis 53%
• Alzheimer Disease 51%
• Mutation 36%
• Presenilin-2 34%
• Presenilin-1 30%
• Biomarkers 28%
• Population Genetics 26%
• Amyloid beta-Protein Precursor 25%
• Neuroimaging 19%
• Cerebrospinal Fluid 19%
• ROC Curve 18%
• Registries 17%
• Population 17%
• Linear Models 17%
• Genes 8%