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Annals of Internal Medicine
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January 1, 2019
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
Robert F Wolff, Karel G M Moons, Richard D Riley, et al.
Statistics in Medicine
|
March 26, 2021
Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model
Joie Ensor, Kym I E Snell, Thomas P A Debray, et al.
BMJ Open
|
February 16, 2021
Community-based complex interventions to sustain independence in older people, stratified by frailty: a protocol for a systematic review and network meta-analysis
Thomas F Crocker, Andrew Clegg, Richard D Riley, et al.
Journal of Clinical Epidemiology
|
April 27, 2026
Discriminating clinical prediction models: how outcome incidence and decision thresholds shape clinical utility and apt AUROC values
Farid Foroutan, Jessica Weiss, Martin Mayer, et al.
Research Synthesis Methods
|
November 24, 2019
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example
Valentijn M T de Jong, Karel G M Moons, Richard D Riley, et al.
Statistics in Medicine
|
August 17, 2021
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
Jeroen Hoogland, Joanna IntHout, Michail Belias, et al.
BMJ (Clinical Research Ed.)
|
February 1, 2019
A guide to systematic review and meta-analysis of prognostic factor studies
Richard D Riley, Karel G M Moons, Kym I E Snell, et al.
BMJ Open
|
August 31, 2025
Design aspects for prognostic factor studies
Peggy Sekula, Inga Steinbrenner, Ulla T Schultheiss, et al.
BMJ (Clinical Research Ed.)
|
January 7, 2017
A guide to systematic review and meta-analysis of prediction model performance
Thomas P A Debray, Johanna A A G Damen, Kym I E Snell, et al.
BMJ (Clinical Research Ed.)
|
March 20, 2020
Calculating the sample size required for developing a clinical prediction model
Richard D Riley, Joie Ensor, Kym I E Snell, et al.
Page
of 30
Search research articles
Search
Showing results (181-190 of 293) with videos related to
Sort By:
Page
of 30
Annals of Internal Medicine
|
January 1, 2019
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
Robert F Wolff, Karel G M Moons, Richard D Riley, et al.
Statistics in Medicine
|
March 26, 2021
Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model
Joie Ensor, Kym I E Snell, Thomas P A Debray, et al.
BMJ Open
|
February 16, 2021
Community-based complex interventions to sustain independence in older people, stratified by frailty: a protocol for a systematic review and network meta-analysis
Thomas F Crocker, Andrew Clegg, Richard D Riley, et al.
Journal of Clinical Epidemiology
|
April 27, 2026
Discriminating clinical prediction models: how outcome incidence and decision thresholds shape clinical utility and apt AUROC values
Farid Foroutan, Jessica Weiss, Martin Mayer, et al.
Research Synthesis Methods
|
November 24, 2019
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example
Valentijn M T de Jong, Karel G M Moons, Richard D Riley, et al.
Statistics in Medicine
|
August 17, 2021
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
Jeroen Hoogland, Joanna IntHout, Michail Belias, et al.
BMJ (Clinical Research Ed.)
|
February 1, 2019
A guide to systematic review and meta-analysis of prognostic factor studies
Richard D Riley, Karel G M Moons, Kym I E Snell, et al.
BMJ Open
|
August 31, 2025
Design aspects for prognostic factor studies
Peggy Sekula, Inga Steinbrenner, Ulla T Schultheiss, et al.
BMJ (Clinical Research Ed.)
|
January 7, 2017
A guide to systematic review and meta-analysis of prediction model performance
Thomas P A Debray, Johanna A A G Damen, Kym I E Snell, et al.
BMJ (Clinical Research Ed.)
|
March 20, 2020
Calculating the sample size required for developing a clinical prediction model
Richard D Riley, Joie Ensor, Kym I E Snell, et al.
Page
of 30