External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, wh...

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Detalles Bibliográficos
Autores principales: Riley, Richard D, Ensor, Joie, Snell, Kym I E, Debray, Thomas P A, Altman, Doug G, Moons, Karel G M, Collins, Gary S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: British Medical Journal Publishing Group 2016
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916924/
https://www.ncbi.nlm.nih.gov/pubmed/27334381
http://dx.doi.org/10.1136/bmj.i3140
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author Riley, Richard D
Ensor, Joie
Snell, Kym I E
Debray, Thomas P A
Altman, Doug G
Moons, Karel G M
Collins, Gary S
author_facet Riley, Richard D
Ensor, Joie
Snell, Kym I E
Debray, Thomas P A
Altman, Doug G
Moons, Karel G M
Collins, Gary S
author_sort Riley, Richard D
collection PubMed
description Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, while drawing attention to methodological challenges and reporting issues.
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spelling pubmed-49169242016-06-24 External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges Riley, Richard D Ensor, Joie Snell, Kym I E Debray, Thomas P A Altman, Doug G Moons, Karel G M Collins, Gary S BMJ Research Methods & Reporting Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, while drawing attention to methodological challenges and reporting issues. British Medical Journal Publishing Group 2016-06-22 /pmc/articles/PMC4916924/ /pubmed/27334381 http://dx.doi.org/10.1136/bmj.i3140 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Methods & Reporting
Riley, Richard D
Ensor, Joie
Snell, Kym I E
Debray, Thomas P A
Altman, Doug G
Moons, Karel G M
Collins, Gary S
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title_full External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title_fullStr External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title_full_unstemmed External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title_short External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
title_sort external validation of clinical prediction models using big datasets from e-health records or ipd meta-analysis: opportunities and challenges
topic Research Methods & Reporting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916924/
https://www.ncbi.nlm.nih.gov/pubmed/27334381
http://dx.doi.org/10.1136/bmj.i3140
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