Enhancing the QUAlity and Transparency Of health Research
Blog Archives
02/10/2020 Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council 02/10/2020 BIAS: Transparent reporting of biomedical image analysis challenges 02/10/2020 Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist 13/05/2020 Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) 02/08/2019 Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations 16/04/2019 Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data 23/10/2017 Graphics and statistics for cardiology: designing effective tables for presentation and publication 13/10/2017 Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0 09/10/2017 Guidelines for Reporting on Latent Trajectory Studies (GRoLTS) 27/04/2017 Best Practices in Data Analysis and Sharing in Neuroimaging using MRIBlog archives
Latest guest blogger
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What is the little thing you can do to increase reproducibility, replicability and trust in science?
How can reporting quality interfere with reproducibility issues and overall trust in science results? With that question in mind, we participated in the Reproducibility, Replicability and Trust in Science conference organised by the Wellcome Genome Campus from 9 to 11...