ArticleJournal of classification2020
ROC and AUC with a Binary Predictor: a Potentially Misleading Metric.
Article in Journal of classification, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
111 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Real-World Validation of the Clinical Distinctiveness of IDH-Mutant Glioblastoma in the SEER Transition Era: A Population-Based Study Integrating Machine Learning.Brain and behavior · 2026Article
- Prevalence of Error Types of Synthesized Contingency Assessments.Behavior analysis (Washington, D.C.) · 2026Article
- Biomarkers in Clinical Medicine Research: A Literature Survey in the PubMed Database and a Critical Evaluation.Journal of clinical medicine · 2026Review
- Machine Learning-Based Prediction of Brain Metastasis at Initial Diagnosis in Small-Cell Lung Cancer: Model Development and SHAP Interpretation Study.Cancer reports (Hoboken, N.J.) · 2026Article
- The influence of anti-involution training on the critical thinking of young healthcare professionals in dental outpatient clinics: a pre-post quasi-experimental study.BMC medical education · 2026Article
- Asymmetric LAMP-gold nanoparticle biosensing for rapid detection of Kenyan tomato leaf curl virus isolates from crude extracts.RSC advances · 2026Article
- Pregnancy prediction in Nelore heifers using machine learning algorithms.Tropical animal health and production · 2026Article
- Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.BMC medical informatics and decision making · 2026Observational
- TMacaque-FaceNet: Automatic Facial Recognition Based on Vision Transformer for Wild Tibetan Macaques.Animals : an open access journal from MDPI · 2026Article
- Discrimination performance in illness-death models with interval-censored disease data.Statistical methods in medical research · 2026Article
- Niche Partitioning Promotes Coexistence: Habitat Suitability and Spatial Overlap of Three Sympatric Ungulates in a Subtropical Mountain Reserve.Ecology and evolution · 2026Article
- Automated deep learning detection of orthodontically induced external apical root resorption in maxillary incisors on panoramic radiographs.Progress in orthodontics · 2026Article
- Article
- The Role of Inflammatory Biomarkers in PIPAC: Predicting Survival and Treatment Completion in Patients with Peritoneal Metastasis.Journal of Cancer · 2026Article
- Survival prediction in triple-negative breast cancer: a Cox model with fairness assessment using ISO/IEC TR 24027:2021 in a MENA cohort.Exploration of targeted anti-tumor therapy · 2026Article
- Analysis of risk factors for herb-induced liver injury: a retrospective study from China.Frontiers in pharmacology · 2026Article
- Construction and validation of a machine learning model to predict the risk of nasopharyngeal carcinoma using multimodal clinical data: a single-center, retrospective study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
51 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve is informative about the performance over a series of thresholds and can be summarized by the area under the curve (AUC), a single number. When a
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.