Richard Riley

Jun 25, 2024 | medrxiv.org | Andrew Moriarty |Lewis W Paton |Lucinda Archer |Richard Riley

The authors have declared no competing interest. https://doi.org/10.1186/s41512-021-00101-xThis report is independent research supported by the National Institute for Health and Care Research (NIHR Doctoral Research Fellowship, Dr Andrew Moriarty, DRF-2018-11-ST2-044). KIES, RDR and LA are supported by funding from the NIHR Birmingham Biomedical Research Centre (BRC). RDR, SG, DAR and CS are NIHR Senior Investigators.

Apr 15, 2024 | jclinepi.com | Johanna AA. Damen |Mona Ghannad |Paula Dhiman |Johannes B. Reitsma |Maarten van Smeden |Gary Collins | +3 more

This paper is only available as a PDF. To read, Please Download here. HighlightsWhat is New? •Overoptimistic reporting and misinterpretation of studies on clinical prediction models has received relatively limited attention in biomedical literature. These practices are known as ‘spin’ and are a wide phenomenon in other study designs.

Apr 3, 2024 | jclinepi.com | Martin Mayer |East Carolina |Gordon Guyatt |Richard Riley

This paper is only available as a PDF. To read, Please Download here. AbstractPrognostic models incorporate multiple prognostic factors to estimate the likelihood of future events for individual patients based on their prognostic factor values. Evaluating these models crucially involves conducting studies to assess their predictive performance, like discrimination. Systematic reviews and meta-analyses of these evaluation studies play an essential role in selecting models for clinical practice.

Jan 15, 2024 | bmj.com | Richard Riley |Lucinda Archer |Joie Ensor |Paula Dhiman

ResearchEvaluation of clinical...

Aug 1, 2023 | jclinepi.com | Paula Dhiman |Cathy Qi |Garrett S Bullock |Richard Riley

This paper is only available as a PDF. To read, Please Download here. AbstractWhen developing a clinical prediction model, assuming a linear relationship between the continuous predictors and outcome is not recommended. Incorrect specification of the functional form of continuous predictors could reduce predictive accuracy. We examine how continuous predictors are handled in studies developing a clinical prediction model.