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Richard D Riley

Showing results (101-110 of 292) with videos related to

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Arthritis Care & Research|September 3, 2016
Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction ModelFrances Rees, Michael Doherty, Peter Lanyon, et al.
Diagnostic and Prognostic Research|May 17, 2019
First-trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort studyFiona L Mackie, Rebecca Whittle, R Katie Morris, et al.
The Cochrane Database of Systematic Reviews|October 12, 2018
Implementing systematic reviews of prognosis studies in CochraneKarel Gm Moons, Lotty Hooft, Katrina Williams, et al.
BMC Medical Research Methodology|March 27, 2012
Individual patient data meta-analysis of survival data using Poisson regression modelsMichael J Crowther, Richard D Riley, Jan A Staessen, et al.
BJU International|September 8, 2025
Guidelines for meta-analyses and systematic reviews in urologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
Statistics in Medicine|December 3, 2016
One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial informationHairui Hua, Danielle L Burke, Michael J Crowther, et al.
Diagnostic and Prognostic Research|May 17, 2019
Prognosis research ideally should measure time-varying predictors at their intended moment of useRebecca Whittle, Kara-Louise Royle, Kelvin P Jordan, et al.
Urology|September 7, 2025
Guidelines for Meta-Analyses and Systematic Reviews in UrologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
BMJ Open|January 29, 2014
Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkersKinga Malottki, Mousumi Biswas, Jonathan J Deeks, et al.
The Journal of Urology|August 11, 2025
Guidelines for Meta-Analyses and Systematic Reviews in UrologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
Pageof 30

Showing results (101-110 of 292) with videos related to

Sort By:
Pageof 30
Arthritis Care & Research|September 3, 2016
Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction ModelFrances Rees, Michael Doherty, Peter Lanyon, et al.
Diagnostic and Prognostic Research|May 17, 2019
First-trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort studyFiona L Mackie, Rebecca Whittle, R Katie Morris, et al.
The Cochrane Database of Systematic Reviews|October 12, 2018
Implementing systematic reviews of prognosis studies in CochraneKarel Gm Moons, Lotty Hooft, Katrina Williams, et al.
BMC Medical Research Methodology|March 27, 2012
Individual patient data meta-analysis of survival data using Poisson regression modelsMichael J Crowther, Richard D Riley, Jan A Staessen, et al.
BJU International|September 8, 2025
Guidelines for meta-analyses and systematic reviews in urologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
Statistics in Medicine|December 3, 2016
One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial informationHairui Hua, Danielle L Burke, Michael J Crowther, et al.
Diagnostic and Prognostic Research|May 17, 2019
Prognosis research ideally should measure time-varying predictors at their intended moment of useRebecca Whittle, Kara-Louise Royle, Kelvin P Jordan, et al.
Urology|September 7, 2025
Guidelines for Meta-Analyses and Systematic Reviews in UrologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
BMJ Open|January 29, 2014
Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkersKinga Malottki, Mousumi Biswas, Jonathan J Deeks, et al.
The Journal of Urology|August 11, 2025
Guidelines for Meta-Analyses and Systematic Reviews in UrologyAndrew J Vickers, Melissa Assel, Rodney L Dunn, et al.
Pageof 30