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Lucinda Archer

Showing results (1-10 of 36) with videos related to

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BMC Medicine|December 19, 2023
Clinical prediction models and the multiverse of madnessRichard D Riley, Alexander Pate, Paula Dhiman, et al.
Diagnostic and Prognostic Research|April 14, 2026
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomesRebecca Whittle, Richard D Riley, Lucinda Archer, et al.
Statistics in Medicine|November 5, 2020
Minimum sample size for external validation of a clinical prediction model with a continuous outcomeLucinda Archer, Kym I E Snell, Joie Ensor, et al.
Health Technology Assessment (Winchester, England)|July 6, 2021
Prognostic biomarkers to identify patients likely to develop severe Crohn's disease: a systematic reviewSteve Halligan, Darren Boone, Lucinda Archer, et al.
Statistics in Medicine|September 14, 2023
Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over timeSarah Booth, Sarwar I Mozumder, Lucinda Archer, et al.
Journal of Clinical Epidemiology|December 11, 2020
Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was smallRichard D Riley, Kym I E Snell, Glen P Martin, et al.
Statistics in Medicine|May 25, 2021
Minimum sample size for external validation of a clinical prediction model with a binary outcomeRichard D Riley, Thomas P A Debray, Gary S Collins, et al.
BMJ (Clinical Research Ed.)|January 15, 2024
Evaluation of clinical prediction models (part 2): how to undertake an external validation studyRichard D Riley, Lucinda Archer, Kym I E Snell, et al.
Journal of Clinical Epidemiology|January 15, 2025
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic reviewBiruk Tsegaye, Kym I E Snell, Lucinda Archer, et al.
Journal of Clinical Epidemiology|February 17, 2021
External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumbKym I E Snell, Lucinda Archer, Joie Ensor, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
BMC Medicine|December 19, 2023
Clinical prediction models and the multiverse of madnessRichard D Riley, Alexander Pate, Paula Dhiman, et al.
Diagnostic and Prognostic Research|April 14, 2026
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomesRebecca Whittle, Richard D Riley, Lucinda Archer, et al.
Statistics in Medicine|November 5, 2020
Minimum sample size for external validation of a clinical prediction model with a continuous outcomeLucinda Archer, Kym I E Snell, Joie Ensor, et al.
Health Technology Assessment (Winchester, England)|July 6, 2021
Prognostic biomarkers to identify patients likely to develop severe Crohn's disease: a systematic reviewSteve Halligan, Darren Boone, Lucinda Archer, et al.
Statistics in Medicine|September 14, 2023
Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over timeSarah Booth, Sarwar I Mozumder, Lucinda Archer, et al.
Journal of Clinical Epidemiology|December 11, 2020
Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was smallRichard D Riley, Kym I E Snell, Glen P Martin, et al.
Statistics in Medicine|May 25, 2021
Minimum sample size for external validation of a clinical prediction model with a binary outcomeRichard D Riley, Thomas P A Debray, Gary S Collins, et al.
BMJ (Clinical Research Ed.)|January 15, 2024
Evaluation of clinical prediction models (part 2): how to undertake an external validation studyRichard D Riley, Lucinda Archer, Kym I E Snell, et al.
Journal of Clinical Epidemiology|January 15, 2025
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic reviewBiruk Tsegaye, Kym I E Snell, Lucinda Archer, et al.
Journal of Clinical Epidemiology|February 17, 2021
External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumbKym I E Snell, Lucinda Archer, Joie Ensor, et al.
Pageof 4