Ewout W. Steyerberg
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
2015/01/05 by Karel G.M. Moons, Douglas G. Altman, Johannes B. Reitsma +8 · 81 citations
Decision Sciences · Health Professions · Economics, Econometrics and Finance · #Meta-analysis and systematic reviews #Healthcare cost, quality, practices #Health Systems, Economic Evaluations, Quality of Life
- Calibration: the Achilles heel of predictive analytics
2019/12/01 by On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben Van Calster, David J. McLernon +3 · 1 voice · 42 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Sepsis Diagnosis and Treatment
- Prediction models need appropriate internal, internal–external, and external validation
2015/04/18 by Ewout W. Steyerberg, Frank E. Harrell · 16 citations
Mathematics · Medicine · #Liver Disease Diagnosis and Treatment #Sepsis Diagnosis and Treatment #Statistical Methods in Epidemiology
- A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019/02/11 by Evangelia Christodoulou, Jie Ma, Professor Gary S. Collins +4 · 18 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
2020/04/07 by Laure Wynants, Ben Van Calster, Professor Gary S. Collins +54 · 21 citations
Medicine · #COVID-19 Clinical Research Studies #COVID-19 diagnosis using AI #SARS-CoV-2 detection and testing
- Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
2024/12/13 by Ben Van Calster, Gary S. Collins, Van Calster, Ben +25 · 7 voices · 4 citations
#cs.LG #stat.ME #stat.ML
- Assessing the Performance of Prediction Models
2010/01/01 by Ewout W. Steyerberg, Andrew J. Vickers, Nancy R. Cook +5 · 8 citations
- Traumatic brain injury: progress and challenges in prevention, clinical care, and research
2022/09/29 by Andrew I.R. Maas, Andrew I R Maas, David Menon +138 · 1 voice · 15 citations
Medicine · #Cardiac Arrest and Resuscitation #Traumatic Brain Injury Research #Traumatic Brain Injury and Neurovascular Disturbances
- External validation is necessary in prediction research:
2003/09/01 by Sacha E. Bleeker, S.E Bleeker, Henriëtte A. Moll +11 · 6 citations
Decision Sciences · Medicine · #Reliability and Agreement in Measurement #Sepsis Diagnosis and Treatment #Thermal Regulation in Medicine
- Understanding of interaction (subgroup) analysis in clinical trials
2019/05/28 by Milos Brankovic, Isabella Kardys, Ewout W. Steyerberg +5 · 4 citations
Mathematics · Decision Sciences · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Meta-analysis and systematic reviews
- Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
2010/11/05 by Michael Pencina, Michael J. Pencina, Ralph B. D'Agostino +2 · 3 citations
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Health Systems, Economic Evaluations, Quality of Life #Meta-analysis and systematic reviews
- Assessing the incremental value of diagnostic and prognostic markers: a review and illustration
2011/05/31 by Ewout W. Steyerberg, Michael Pencina, Michael J. Pencina +4 · 3 citations
Medicine · #Testicular diseases and treatments #Ovarian cancer diagnosis and treatment #Prostate Cancer Diagnosis and Treatment
- There is no such thing as a validated prediction model
2023/02/24 by Ben Van Calster, Ewout W. Steyerberg, Laure Wynants +1 · 1 voice · 5 citations
Medicine · Computer Science · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Simulation-Based Education in Healthcare
- A new framework to enhance the interpretation of external validation studies of clinical prediction models
2014/08/30 by Thomas P. A. Debray, Thomas P.A. Debray, Yvonne Vergouwe +4 · 3 citations
Computer Science · Medicine · #Blood properties and coagulation #Imbalanced Data Classification Techniques #Venous Thromboembolism Diagnosis and Management
- Ventricular Drainage Catheters versus Intracranial Parenchymal Catheters for Intracranial Pressure Monitoring-Based Management of Traumatic Brain Injury: A Systematic Review and Meta-Analysis
2018/09/25 by Victor Volovici, Jilske Huijben, Jilske A. Huijben +13 · 2 citations
Medicine · Neuroscience · #Traumatic Brain Injury and Neurovascular Disturbances #Cerebrospinal fluid and hydrocephalus #Neurosurgical Procedures and Complications
- Epidemiology of traumatic brain injury in Europe
2015/08/14 by Wouter Peeters, Ruben van den Brande, Suzanne Polinder +4 · 1 citation
- Personalized Screening Intervals for Biomarkers using Joint Models for\n Longitudinal and Survival Data
2015/03/22 by Dimitris Rizopoulos, Rizopoulos, Dimitris, Jeremy M. G. Taylor +7 · 1 citation
Engineering · Mathematics · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
- Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
2025/12/01 by Ben Van Calster, Professor Gary S. Collins, Andrew J. Vickers +11 · 2 voices · 5 citations
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
- Management of moderate to severe traumatic brain injury: an update for the intensivist
2022/05/20 by Geert Meyfroidt, Pierre Bouzat, Michaël P. Casaer +26 · 2 citations
Medicine · #Cardiac Arrest and Resuscitation #Sepsis Diagnosis and Treatment #Traumatic Brain Injury and Neurovascular Disturbances
- Performance of the IMPACT and CRASH prognostic models for traumatic brain injury in a contemporary multicenter cohort: a TRACK-TBI study
2024/03/16 by John K. Yue, Young Moo Lee, Young M. Lee +83 · 2 citations
Medicine · Biochemistry, Genetics and Molecular Biology · #Traumatic Brain Injury and Neurovascular Disturbances #S100 Proteins and Annexins #Traumatic Brain Injury Research
- Inflammatory and clinical risk factors for asthma attacks (ORACLE2): a patient-level meta-analysis of control groups of 22 randomised trials
2025/04/08 by Fleur L Meulmeester, Fleur L. Meulmeester, Samuel Mailhot-Larouche +39 · 1 voice · 1 citation
Immunology and Microbiology · Medicine · Social Sciences · #Asthma and respiratory diseases #Delphi Technique in Research #IL-33, ST2, and ILC Pathways
- FRANK E. HARRELL, Regression Modeling Strategies: With Applications, to Linear Models, Logistic and Ordinal Regression, and Survival Analysis, 2nd ed. Heidelberg: Springer.
2016/09/01 by Ewout W. Steyerberg, E. W. Steyerberg · 22 citations
Mathematics · Computer Science · Engineering · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #Diverse Scientific and Engineering Research
- Trauma models to identify major trauma and mortality in the prehospital setting
2019/09/10 by Charlie Sewalt, C A Sewalt, Esmée Venema +13 · 17 citations
Medicine · #Trauma and Emergency Care Studies #Abdominal Trauma and Injuries #Trauma Management and Diagnosis
- Effective Sample Size for the Kaplan-Meier Estimator: A Valuable Measure of Uncertainty?
2025/08/04 by Toby Hackmann, Doranne Thomassen, Anne M. Stiggelbout +5 · 1 citation
Decision Sciences · Mathematics · #Decision-Making and Behavioral Economics #Statistical Methods and Bayesian Inference
- A systematic review and meta-analysis on the association between quality of hospital care and readmission rates in patients with heart failure
2015/07/18 by Claudia Fischer, Ewout W. Steyerberg, Gregg C. Fonarow +3 · 13 citations
Medicine · #Heart Failure Treatment and Management #Cardiovascular Function and Risk Factors #Transplantation: Methods and Outcomes
- Presence of invasive cribriform or intraductal growth at biopsy outperforms percentage grade 4 in predicting outcome of Gleason score 3+4=7 prostate cancer
2017/05/19 by Charlotte F. Kweldam, Charlotte F Kweldam, Intan P Kümmerlin +13 · 1 citation
Mathematics · Medicine · #Prostate Cancer Diagnosis and Treatment #Prostate Cancer Treatment and Research #Statistical Methods in Clinical Trials
- EULAR/ACR risk stratification criteria for development of rheumatoid arthritis in the risk stage of arthralgia
2025/05/09 by Hanna W. van Steenbergen, H.W. van Steenbergen, Frank Doornkamp +38 · 11 citations
Medicine · #Rheumatoid Arthritis Research and Therapies #Systemic Lupus Erythematosus Research #Gout, Hyperuricemia, Uric Acid