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24/10/2024 REFORMS: Consensus-based Recommendations for Machine-learning-based Science 10/11/2023 Adjusting for Treatment Switching in Oncology Trials: A Systematic Review and Recommendations for Reporting 10/11/2023 Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) Framework for Describing and Reporting Multidrug-resistant Organism and Healthcare-Associated Infections Agent-based Modeling Methods 02/11/2023 LEVEL (Logical Explanations & Visualizations of Estimates in Linear mixed models): recommendations for reporting multilevel data and analyses 10/10/2023 MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care 10/10/2023 Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal 18/05/2023 AdViSHE: A Validation-Assessment Tool of Health-Economic Models for Decision Makers and Model Users 09/05/2023 CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII 07/02/2023 Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist 26/04/2022 Rasch Reporting Guideline for Rehabilitation Research (RULER): The RULER Statement

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Latest guest blogger

New resource for research teams to improve the reporting of implementation studies

In this blog post, Dr Louise Hull, an implementation research lead, discusses the development of a new resource to help improve the reporting of implementation studies.