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Richard D Riley

Showing results (161-170 of 293) with videos related to

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Journal of Clinical Epidemiology|July 5, 2015
Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction modelKym I E Snell, Harry Hua, Thomas P A Debray, et al.
BMC Medicine|February 14, 2024
Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella reviewSteven Wambua, Megha Singh, Kelvin Okoth, 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.
International Journal of Epidemiology|December 17, 2021
Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic modelsChava L Ramspek, Lucy Teece, Kym I E Snell, et al.
Diabetes, Obesity & Metabolism|February 25, 2025
External validation of a prediction model for estimating fat mass in Arab children and adolescentsTareq Al-Ati, Khalid El Kari, Lara Nasreddine, et al.
BMJ (Clinical Research Ed.)|June 24, 2016
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challengesRichard D Riley, Joie Ensor, Kym I E Snell, et al.
Research Synthesis Methods|February 2, 2026
Examining covariate-specific treatment effects in individual participant data meta-analysis: Framing aggregation bias in terms of trial-level confounding and funnel plotsLianne K Siegel, Joseph S Koopmeiners, Jamie Hartmann-Boyce, 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.
The Lancet. Digital Health|May 28, 2026
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping reviewJoão Matos, Ben Van Calster, Leo Anthony Celi, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaborationThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Pageof 30

Showing results (161-170 of 293) with videos related to

Sort By:
Pageof 30
Journal of Clinical Epidemiology|July 5, 2015
Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction modelKym I E Snell, Harry Hua, Thomas P A Debray, et al.
BMC Medicine|February 14, 2024
Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella reviewSteven Wambua, Megha Singh, Kelvin Okoth, 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.
International Journal of Epidemiology|December 17, 2021
Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic modelsChava L Ramspek, Lucy Teece, Kym I E Snell, et al.
Diabetes, Obesity & Metabolism|February 25, 2025
External validation of a prediction model for estimating fat mass in Arab children and adolescentsTareq Al-Ati, Khalid El Kari, Lara Nasreddine, et al.
BMJ (Clinical Research Ed.)|June 24, 2016
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challengesRichard D Riley, Joie Ensor, Kym I E Snell, et al.
Research Synthesis Methods|February 2, 2026
Examining covariate-specific treatment effects in individual participant data meta-analysis: Framing aggregation bias in terms of trial-level confounding and funnel plotsLianne K Siegel, Joseph S Koopmeiners, Jamie Hartmann-Boyce, 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.
The Lancet. Digital Health|May 28, 2026
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping reviewJoão Matos, Ben Van Calster, Leo Anthony Celi, et al.
BMJ (Clinical Research Ed.)|February 7, 2023
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaborationThomas P A Debray, Gary S Collins, Richard D Riley, et al.
Pageof 30