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

Richard D Riley; Joie Ensor; Kym I E Snell; Thomas P A Debray; Doug G Altman; Karel G M Moons; Gary S Collins

doi:10.1136/bmj.i3140

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

Richard D Riley
, Joie Ensor
, Kym I E Snell
, Thomas P A Debray
, Doug G Altman
, Karel G M Moons
, Gary S Collins

Applied Health Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	i3140
Journal	BMJ (Clinical research ed.)
Volume	353
DOIs	https://doi.org/10.1136/bmj.i3140
Publication status	Published - 22 Jun 2016

Keywords

Datasets as Topic
Decision Support Techniques
Electronic Health Records
Humans
Meta-Analysis as Topic
Models, Statistical
Registries
Risk Assessment/methods
Validation Studies as Topic

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10.1136/bmj.i3140

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abstract = "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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AU - Snell, Kym I E

AU - Debray, Thomas P A

AU - Altman, Doug G

AU - Moons, Karel G M

AU - Collins, Gary S

PY - 2016/6/22

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AB - 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.

KW - Datasets as Topic

KW - Decision Support Techniques

KW - Electronic Health Records

KW - Humans

KW - Meta-Analysis as Topic

KW - Models, Statistical

KW - Registries

KW - Risk Assessment/methods

KW - Validation Studies as Topic

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JO - BMJ (Clinical research ed.)

JF - BMJ (Clinical research ed.)

ER -

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

Abstract

Keywords

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