Publications by authors named "Richard D Riley"

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Two-stage or not two-stage? That is the question for IPD meta-analysis projects.
Richard D Riley, Joie Ensor, Miriam Hattle, Katerina Papadimitropoulou, Tim P Morris

Res Synth Methods· November 2023

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Minimum sample size for external validation of a clinical prediction model with a continuous outcome.
Lucinda Archer, Kym I E Snell, Joie Ensor, Mohammed T Hudda, Gary S Collins, Richard D Riley

January 2021

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Interpretation of random effects meta-analyses.
Richard D Riley, Julian P T Higgins, Jonathan J Deeks

BMJ· February 2011

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Guidelines for Meta-Analyses and Systematic Reviews in Urology.
Andrew J Vickers, Melissa Assel, Rodney L Dunn, Graeme MacLennan, Betsy Jane Becker, Richard D Riley

J Urol· December 2025

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Development and validation of a prognostic model for predicting the risk of allopurinol-induced severe cutaneous adverse reactions: a retrospective new-user cohort study using linked primary care, hospitalisation, and mortality data.
Edoardo Cipolletta, Georgina Nakafero, Davide Rozza, Satveer K Mahil, Catherine H Smith, Richard D Riley

Lancet Rheumatol· December 2025

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Guidelines for Meta-Analyses and Systematic Reviews in Urology.
Andrew J Vickers, Melissa Assel, Rodney L Dunn, Graeme MacLennan, Betsy Jane Becker, Richard D Riley

Urology· December 2025

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 2: time-to-event outcomes.
Richard D Riley, Gary S Collins, Lucinda Archer, Rebecca Whittle, Amardeep Legha

Diagn Progn Res· December 2025

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Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals.
Amardeep Legha, Joie Ensor, Rebecca Whittle, Lucinda Archer, Ben Van Calster, Richard D Riley

J Clin Epidemiol· December 2025

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Guidelines for Meta-analyses and Systematic Reviews in Urology.
Andrew J Vickers, Melissa Assel, Rodney L Dunn, Graeme MacLennan, Betsy Jane Becker, Richard D Riley

Eur Urol· November 2025

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Guidelines for meta-analyses and systematic reviews in urology.
Andrew J Vickers, Melissa Assel, Rodney L Dunn, Graeme MacLennan, Betsy Jane Becker, Richard D Riley

BJU Int· November 2025

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Calibration of cause-specific absolute risk for external validation using each cause-specific hazards model in the presence of competing events.
Sarwar I Mozumder, Sarah Booth, Richard D Riley, Mark J Rutherford, Paul C Lambert

Diagn Progn Res· October 2025

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Predicting hypotension, syncope, and fracture risk in patients indicated for antihypertensive treatment: the STRATIFY models.
Constantinos Koshiaris, Ariel Wang, Lucinda Archer, Richard D Riley, Kym Ie Snell

Nat Commun· October 2025

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Developing prediction models for electrolyte abnormalities in patients indicated for antihypertensive therapy: evidence-based treatment and monitoring recommendations.
Ariel Wang, Constantinos Koshiaris, Lucinda Archer, Richard D Riley, Kym I E Snell

J Hypertens· August 2025

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Development and validation of a postpartum cardiovascular disease risk prediction model in women incorporating reproductive and pregnancy-related predictors.
Steven Wambua, Francesca L Crowe, Shakila Thangaratinam, Dermot O'Reilly, Colin McCowan, Richard D Riley

BMC Med· August 2025

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Design aspects for prognostic factor studies.
Peggy Sekula, Inga Steinbrenner, Ulla T Schultheiss, Neus Valveny, Paola Rebora, Richard D Riley

BMJ Open· August 2025

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Extended sample size calculations for evaluation of prediction models using a threshold for classification.
Rebecca Whittle, Joie Ensor, Lucinda Archer, Gary S Collins, Paula Dhiman, Richard D Riley

BMC Med Res Methodol· July 2025

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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk-part 1: binary outcomes.
Richard D Riley, Gary S Collins, Rebecca Whittle, Lucinda Archer, Kym I E Snell

Diagn Progn Res· July 2025

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Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide.
Pedro Lopez-Ayala, Richard D Riley, Gary S Collins, Tobias Zimmermann

BMJ· July 2025

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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation.
Gary S Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam

Ewha Med J· July 2025

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Importance of sample size on the quality and utility of AI-based prediction models for healthcare.
Richard D Riley, Joie Ensor, Kym I E Snell, Lucinda Archer, Rebecca Whittle

Lancet Digit Health· June 2025

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calibmsm: An R package for calibration plots of the transition probabilities in a multistate model.
Alexander Pate, Matthew Sperrin, Richard D Riley, Ben Van Calster, Glen P Martin

PLoS One· June 2025

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External validation of a prediction model for estimating fat mass in Arab children and adolescents.
Tareq Al-Ati, Khalid El Kari, Lara Nasreddine, Hessa Al-Kandari, Richard D Riley

Diabetes Obes Metab· May 2025

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Statistical primer: sample size considerations for developing and validating clinical prediction models.
Glen P Martin, Richard D Riley, Joie Ensor, Stuart W Grant

Eur J Cardiothorac Surg· May 2025

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Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic review and individual participant data network meta-analysis.
Ellen Driessen, Orestis Efthimiou, Frederik J Wienicke, Jasmijn Breunese, Pim Cuijpers, Richard D Riley

PLoS One· April 2025

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A decision-analytical perspective on incorporating multiple outcomes in the production of clinical prediction models: defining a taxonomy of risk estimands.
Glen P Martin, Alexander Pate, Siân Bladon, Matthew Sperrin, Richard D Riley

BMC Med· March 2025

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PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.
Karel G M Moons, Johanna A A Damen, Tabea Kaul, Lotty Hooft, Constanza Andaur Navarro, Richard D Riley

BMJ· March 2025

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Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches.
Richard D Riley, Gary S Collins, Laura Kirton, Kym Ie Snell, Joie Ensor

BMJ· February 2025

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Monitoring for 5-aminosalicylate nephrotoxicity in adults with inflammatory bowel disease: prognostic model development and validation using data from the Clinical Practice Research Datalink.
Abhishek Abhishek, Georgina Nakafero, Tim Card, Maarten W Taal, Matthew J Grainge, Richard D Riley

BMJ Open Gastroenterol· January 2025

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