Publications by authors named "Lucinda Archer"

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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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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

J Clin Epidemiol· December 2025

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Assessing the potential utility of large language models for assisting community health workers: protocol for a prospective, observational study in Rwanda.
Vaishnavi Menon, Natnael Shimelash, Samuel Rutunda, Cyprien Nshimiyimana, Lucinda Archer

BMJ Open· 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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Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare.
Lucinda Archer, George Peat, Kym I E Snell, Jonathan C Hill, Kate M Dunn

J Occup Rehabil· September 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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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

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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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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Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review.
Biruk Tsegaye, Kym I E Snell, Lucinda Archer, Shona Kirtley, Richard D Riley

J Clin Epidemiol· April 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, Lucinda Archer

BMJ· February 2025

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Individualized prediction models in ADHD: a systematic review and meta-regression.
Gonzalo Salazar de Pablo, Raquel Iniesta, Alessio Bellato, Arthur Caye, Maja Dobrosavljevic, Lucinda Archer

Mol Psychiatry· December 2024

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The Value of Clinical Prediction Models in General Practice: A Qualitative Study Exploring the Perspectives of People With Lived Experience of Depression and General Practitioners.
Andrew S Moriarty, Joanne Castleton, Dean McMillan, Richard D Riley, Kym I E Snell, Lucinda Archer

Health Expect· December 2024

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Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies.
Andrew S Moriarty, Lewis W Paton, Kym I E Snell, Lucinda Archer, Richard D Riley

BMJ Ment Health· October 2024

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Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.
John Allotey, Lucinda Archer, Kym I E Snell, Dyuti Coomar, Jacques Massé

BMJ Med· August 2024

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Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis.
John Allotey, Lucinda Archer, Dyuti Coomar, Kym Ie Snell, Melanie Smuk

Health Technol Assess· August 2024

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Development and external validation of the eFalls tool: a multivariable prediction model for the risk of ED attendance or hospitalisation with a fall or fracture in older adults.
Lucinda Archer, Samuel D Relton, Ashley Akbari, Kate Best, Milica Bucknall

Age Ageing· March 2024

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Evaluation of clinical prediction models (part 1): from development to external validation.
Gary S Collins, Paula Dhiman, Jie Ma, Michael M Schlussel, Lucinda Archer

BMJ· January 2024

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Evaluation of clinical prediction models (part 2): how to undertake an external validation study.
Richard D Riley, Lucinda Archer, Kym I E Snell, Joie Ensor, Paula Dhiman

BMJ· January 2024

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Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study.
Richard D Riley, Kym I E Snell, Lucinda Archer, Joie Ensor, Thomas P A Debray

BMJ· January 2024

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Clinical prediction models and the multiverse of madness.
Richard D Riley, Alexander Pate, Paula Dhiman, Lucinda Archer, Glen P Martin

BMC Med· December 2023

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Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time.
Sarah Booth, Sarwar I Mozumder, Lucinda Archer, Joie Ensor, Richard D Riley

Stat Med· November 2023

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Development and External Validation of Individualized Prediction Models for Pain Intensity Outcomes in Patients With Neck Pain, Low Back Pain, or Both in Primary Care Settings.
Lucinda Archer, Kym I E Snell, Siobhán Stynes, Iben Axén, Kate M Dunn

Phys Ther· November 2023

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Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI.
Constantinos Koshiaris, Lucinda Archer, Sarah Lay-Flurrie, Kym Ie Snell, Richard D Riley

Br J Gen Pract· August 2023

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Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review.
Mohammed T Hudda, Lucinda Archer, Maarten van Smeden, Karel G M Moons, Gary S Collins

J Clin Epidemiol· February 2023

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