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External validation of clinical prediction models using big datasets from e-health records or IPD me...

External validation of clinical prediction models using big datasets from e-health records or IPD me...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4916924

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

About this item

Full title

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

Publisher

England: British Medical Journal Publishing Group

Journal title

BMJ (Online), 2016-06, Vol.353, p.i3140-i3140

Language

English

Formats

Publication information

Publisher

England: British Medical Journal Publishing Group

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4916924

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4916924

Other Identifiers

ISSN

1756-1833,0959-8138

E-ISSN

1756-1833

DOI

10.1136/bmj.i3140

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