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Richard D Riley

Showing results (271-280 of 293) with videos related to

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BMJ (Clinical Research Ed.)|February 13, 2025
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approachesRichard D Riley, Gary S Collins, Laura Kirton, et al.
Health Technology Assessment (Winchester, England)|September 9, 2021
A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort studySarah J Stock, Margaret Horne, Merel Bruijn, et al.
Plos Medicine|July 6, 2021
Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysisSarah J Stock, Margaret Horne, Merel Bruijn, et al.
Lancet (London, England)|February 17, 2024
Global disease burden of and risk factors for acute lower respiratory infections caused by respiratory syncytial virus in preterm infants and young children in 2019: a systematic review and meta-analysis of aggregated and individual participant dataXin Wang, You Li, Ting Shi, et al.
BMJ (Clinical Research Ed.)|March 5, 2026
Prognostic score for predicting respiratory admissions among patients with chronic obstructive pulmonary disease in primary care: development and validation in population cohorts (Birmingham Lung Improvement Studies (BLISS))Rachel E Jordan, Spencer J Keene, Frits M E Franssen, et al.
BMJ Open|February 24, 2023
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UKSiang Ing Lee, Holly Hope, Dermot O'Reilly, et al.
BMJ (Clinical Research Ed.)|March 24, 2025
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methodsKarel G M Moons, Johanna A A Damen, Tabea Kaul, et al.
BMJ Open|January 27, 2026
Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studiesMichael L Henry, Neil E O'Connell, Richard D Riley, et al.
Ewha Medical Journal|July 31, 2025
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translationGary S Collins, Karel G M Moons, Paula Dhiman, et al.
BMJ Open|December 25, 2017
Subgrouping and TargetEd Exercise pRogrammes for knee and hip OsteoArthritis (STEER OA): a systematic review update and individual participant data meta-analysis protocolMelanie A Holden, Danielle L Burke, Jos Runhaar, et al.
Pageof 30

Showing results (271-280 of 293) with videos related to

Sort By:
Pageof 30
BMJ (Clinical Research Ed.)|February 13, 2025
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approachesRichard D Riley, Gary S Collins, Laura Kirton, et al.
Health Technology Assessment (Winchester, England)|September 9, 2021
A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort studySarah J Stock, Margaret Horne, Merel Bruijn, et al.
Plos Medicine|July 6, 2021
Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysisSarah J Stock, Margaret Horne, Merel Bruijn, et al.
Lancet (London, England)|February 17, 2024
Global disease burden of and risk factors for acute lower respiratory infections caused by respiratory syncytial virus in preterm infants and young children in 2019: a systematic review and meta-analysis of aggregated and individual participant dataXin Wang, You Li, Ting Shi, et al.
BMJ (Clinical Research Ed.)|March 5, 2026
Prognostic score for predicting respiratory admissions among patients with chronic obstructive pulmonary disease in primary care: development and validation in population cohorts (Birmingham Lung Improvement Studies (BLISS))Rachel E Jordan, Spencer J Keene, Frits M E Franssen, et al.
BMJ Open|February 24, 2023
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UKSiang Ing Lee, Holly Hope, Dermot O'Reilly, et al.
BMJ (Clinical Research Ed.)|March 24, 2025
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methodsKarel G M Moons, Johanna A A Damen, Tabea Kaul, et al.
BMJ Open|January 27, 2026
Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studiesMichael L Henry, Neil E O'Connell, Richard D Riley, et al.
Ewha Medical Journal|July 31, 2025
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translationGary S Collins, Karel G M Moons, Paula Dhiman, et al.
BMJ Open|December 25, 2017
Subgrouping and TargetEd Exercise pRogrammes for knee and hip OsteoArthritis (STEER OA): a systematic review update and individual participant data meta-analysis protocolMelanie A Holden, Danielle L Burke, Jos Runhaar, et al.
Pageof 30