Papers matching “binary outcome prediction” 49
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Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation20citations
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Serum Levels of Soluble Urokinase Plasminogen Activator Receptor Predict Tumor Response and Outcome to Immune Checkpoint Inhibitor Therapy2021 Frontiers in Oncology article Medicine Cancer Immunotherapy and Biomarkers Open access cited by 1 patent
Sven Heiko Loosen, Joao Gorgulho, Markus Sebastian Jördens, Maximilian Franz Schulze-Hagen, Fabian Beier, Mihael Vucur, +9 more
16citations -
Fetomaternal Doppler sonography for the prediction of perinatal outcome in term pregnancies complicated by gestational diabetes mellitus: does it have potential?2025 Ultrasound International Open article Medicine Gestational Diabetes Research and Management Open access
Oliver Graupner, Caroline Rath, Linda Lecker, Jochen Ritgen, Bernhard Haller, C Enzensberger
1citations -
Recent criteria and simple rules agreed often on required sample size for developed clinical prediction models2026 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access
Ewout Willem Steyerberg, Toby Hackmann, Ben Van Calster, Maarten van Smeden, Laure Wynants
0citations -
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke2024 Frontiers in Artificial Intelligence article Medicine Acute Ischemic Stroke Management Open access
Jakob Sommer, Fiona Dierksen, Tal Zeevi, Emily W. Avery, Adrian Mak, Ajay Malhotra, +7 more
10citations -
Estimation of required sample size for external validation of risk models for binary outcomes2021 Statistical Methods in Medical Research article Mathematics Statistical Methods in Epidemiology Open access
Menelaos Pavlou, Qu Chen, Rumana Omar, Shaun R. Seaman, Ewout Willem Steyerberg, Ian R. White, +1 more
60citations -
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study2020 Statistical Methods in Medical Research article Mathematics Statistical Methods and Inference Open access
Ben Van Calster, Maarten van Smeden, B. De Cock, Ewout Willem Steyerberg
124citations -
Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data
An-Kwok Ian Wong, Rishikesan Kamaleswaran, Azade Tabaie, Matthew A. Reyna, Christopher S. Josef, Chad J. Robichaux, +6 more
10citations -
Use of Merlin Assay to identify patients with a low-risk for SN metastasis in a prospective multicenter Dutch study of a primary melanoma gene-signature (CP-GEP model) to predict sentinel node status during COVID-19.2022 Journal of Clinical Oncology conference-abstract Medicine Cutaneous Melanoma Detection and Management
Evalyn E.A.P. Mulder, Antoine Veringa, Antien L. Mooyaart, Jvalini T. Dwarkasing, Dennie Tempel, Jos A. van der Hage, +5 more
3citations -
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance2025 The Lancet Digital Health review Medicine Artificial Intelligence in Healthcare and Education Open access
Ben Van Calster, Professor Gary S. Collins, Andrew Julian Vickers, Laure Wynants, Kathleen F. Kerr, Lasai Barreñada, +8 more
114citations -
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression2023 Statistical Methods in Medical Research article Mathematics Statistical Methods in Epidemiology Open access
Alexander Pate, Richard D Riley, Professor Gary S. Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, +1 more
170citations -
How to develop, validate, and update clinical prediction models using multinomial logistic regression2024 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access
Celina K Gehringer, Glen Philip Martin, Ben Van Calster, Kimme Leanne Hyrich, Suzanne M. M. Verstappen, Jamie C. Sergeant
20citations -
Minimum Sample Size for Developing a Multivariable Prediction Model using Multinomial Logistic Regression2022 Research Explorer (The University of Manchester) article Mathematics Statistical Methods in Epidemiology Open access
Alexander Pate, Richard D Riley, Professor Gary S. Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, +1 more
11citations -
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review2025 Journal of Clinical Epidemiology review Mathematics Statistical Methods in Epidemiology Open access
Biruk Tsegaye, Kym I E Snell, Lucinda Archer, Shona Kirtley, Richard D Riley, Matthew Sperrin, +3 more
36citations -
Development of the DONOR prediction model on the risk of hypertensive complications in oocyte donation pregnancy: study protocol for a multicentre cohort study in the Netherlands
Géraldine Lafeber, Vera H W van der Endt, Yvonne V. Louwers, Saskia le Cessie, Marie‐Louise van der Hoorn, Eileen E. L. O. Lashley
2citations