VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY

1950/01/01 by GLENN W. BRIER, Glenn W. Brier · 5,337 citations
Environmental Science · Mathematics · #Climatology #Computer science #Environmental and Industrial Safety #Geography #Geology #Mathematics #Meteorology #Statistics

paper · doi:10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2

published in Monthly Weather Review 78(1), 1-3 (American Meteorological Society)

openalex publication_date 1950/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

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• A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor. [europepmc]
• Comparing Bayesian and non-Bayesian accounts of human confidence reports. [europepmc]
• Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study. [europepmc]
• The prediction of suicide in severe mental illness: development and validation of a clinical prediction rule (OxMIS). [europepmc]
• The Brier score does not evaluate the clinical utility of diagnostic tests or prediction models. [europepmc]
• Estimating the success of re-identifications in incomplete datasets using generative models. [europepmc]
• Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms. [europepmc]
• Development of Risk Prediction Equations for Incident Chronic Kidney Disease. [europepmc]
• Prognosticating for Adult Patients With Advanced Incurable Cancer: a Needed Oncologist Skill. [europepmc]
• Informative missingness in electronic health record systems: the curse of knowing. [europepmc]
• Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. [europepmc]
• Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock. [europepmc]
• A meta-learning approach for genomic survival analysis. [europepmc]
• Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction. [europepmc]
• Integrated multi-omics analysis of ovarian cancer using variational autoencoders. [europepmc]
• The relationship of smoking to cg05575921 methylation in blood and saliva DNA samples from several studies. [europepmc]
• Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure. [europepmc]
• Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups. [europepmc]
• Development of machine learning-based models to predict 10-year risk of cardiovascular disease: a prospective cohort study. [europepmc]
• Predicting whether patients will achieve minimal clinically important differences following hip or knee arthroplasty. [europepmc]