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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 25/10/2021 Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines

Blog archives

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.