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BMC Medical Research Methodology|July 2, 2025
Extended sample size calculations for evaluation of prediction models using a threshold for classificationRebecca Whittle, Joie Ensor, Lucinda Archer, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
International Journal of Chronic Obstructive Pulmonary Disease|May 22, 2015
Supported self-management for patients with COPD who have recently been discharged from hospital: a systematic review and meta-analysisSaimma Majothi, Kate Jolly, Nicola R Heneghan, et al.
Journal of the National Cancer Institute|January 9, 2014
Comparative proteome analysis revealing an 11-protein signature for aggressive triple-negative breast cancerNing Qing Liu, Christoph Stingl, Maxime P Look, et al.
The British Journal of Psychiatry : the Journal of Mental Science|January 20, 2022
Predicting relapse or recurrence of depression: systematic review of prognostic modelsAndrew S Moriarty, Nicholas Meader, Kym I E Snell, et al.
Journal of Clinical Epidemiology|November 20, 2021
GRADE concept paper 2: Concepts for judging certainty on the calibration of prognostic models in a body of validation studiesFarid Foroutan, Gordon Guyatt, Marialena Trivella, et al.
Nature Medicine|June 26, 2026
Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trialAmbrose Agweyu, Paul Mwaniki, Vaishnavi Menon, et al.
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