Discriminant Analysis

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  Subject Areas on Research

  • A blood-based biomarker panel to detect acute stroke. 
  • A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies. 
  • An evidence-based score to detect prevalent peripheral artery disease (PAD). 
  • Analysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis. 
  • Analysis and minimization of overtraining effect in rule-based classifiers for computer-aided diagnosis. 
  • Assessing physicians' estimates of the probability of coronary artery disease: the influence of patient characteristics. 
  • Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. 
  • Biological nitrogen fixation by alternative nitrogenases in boreal cyanolichens: importance of molybdenum availability and implications for current biological nitrogen fixation estimates. 
  • Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors. 
  • Calcitonin elevation in small cell lung cancer without ectopic production. 
  • Channel selection methods for the P300 Speller. 
  • Clinical examination variables discriminate among treatment-based classification groups: a study of construct validity in patients with acute low back pain. 
  • Clustering linear discriminant analysis for MEG-based brain computer interfaces. 
  • Clusters of problem behaviors in adolescents. 
  • Comparison of open mitral commissurotomy with mitral valve replacement with or without chordal preservation in patients with mitral stenosis. 
  • Computer-aided classification of breast masses: performance and interobserver variability of expert radiologists versus residents. 
  • Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. 
  • Construct validity of the PROMIS® sexual function and satisfaction measures in patients with cancer. 
  • Decision-level fusion of EEG and pupil features for single-trial visual detection analysis. 
  • Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions. 
  • Diagnosing attention deficit disorders with the Behavioral Assessment System for Children and the Child Behavior Checklist: test and construct validity analyses using optimal discriminant classification trees. 
  • Differences between computer-aided diagnosis of breast masses and that of calcifications. 
  • Discriminant analysis using the unweighted sum of binary variables: a comparison of model selection methods. 
  • Distinguishing patient satisfaction with treatment delivery from treatment effect: a preliminary investigation of patient satisfaction with symptoms after physical therapy treatment of low back pain. 
  • Enhanced mortality risk prediction with a focus on high-risk percutaneous coronary intervention: results from 1,208,137 procedures in the NCDR (National Cardiovascular Data Registry). 
  • Equivalence of improvement in area under ROC curve and linear discriminant analysis coefficient under assumption of normality. 
  • Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity. 
  • High-density lipoprotein subclass measurements improve mortality risk prediction, discrimination and reclassification in a cardiac catheterization cohort. 
  • Improved noninvasive diagnosis of acute pulmonary embolism with optimally selected clinical and chest radiographic findings. 
  • Machine learning methods for credibility assessment of interviewees based on posturographic data. 
  • Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism. 
  • Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. 
  • Multivariate analysis for predicting the presence of bacteria in bile in patients with acute cholecystitis. 
  • Multivariate statistical analysis for pathologist. Part I, The logistic model. 
  • Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models. 
  • On the efficacy of the rank transformation in stepwise logistic and discriminant analysis. 
  • Outcome analysis of patients with acute pancreatitis by using an artificial neural network. 
  • Perioperative bridging therapy with unfractionated heparin or low-molecular-weight heparin in patients with mechanical prosthetic heart valves on long-term oral anticoagulants (from the REGIMEN Registry). 
  • Predicting the pathology results of radical prostatectomy from preoperative information: a validation study. 
  • Preoperative sensitivity and specificity for early-stage ovarian cancer when combining cancer antigen CA-125II, CA 15-3, CA 72-4, and macrophage colony-stimulating factor using mixtures of multivariate normal distributions. 
  • Profile of depressive symptoms in younger and older medical inpatients with major depression. 
  • Prostate intrafraction motion assessed by simultaneous kV fluoroscopy at MV delivery II: adaptive strategies. 
  • Reactive and proactive aggression in school children and psychiatrically impaired chronically assaultive youth. 
  • Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data. 
  • Single resting hsTnT level predicts abnormal myocardial stress test in acute chest pain patients with normal initial standard troponin. 
  • Smelling wrong: hormonal contraception in lemurs alters critical female odour cues. 
  • Spectroscopic diagnosis of esophageal cancer: new classification model, improved measurement system. 
  • Subclassification of children with autism and pervasive developmental disorder: a questionnaire based on Wing's subgrouping scheme. 
  • Task-related MEG source localization via discriminant analysis. 
  • The effect of differences in methodology among some recent applications of shearing quotients. 
  • Understanding increments in model performance metrics. 
  • Using Kendall's tau b correlations to improve variable selection methods in case-control studies. 
  • Using Medicare claims data to assess provider quality for CABG surgery: does it work well enough? 
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  Keywords of People

  • Berchuck, Andrew, James M. Ingram Professor of Gynecologic Oncology, Obstetrics and Gynecology, Gynecologic Oncology
  • Dodge, Kenneth A., Pritzker Professor of Early Learning Policy Studies, Duke Science & Society