📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Prediction of cardiovascular risk using Framingham, ASSIGN and QRISK2: how well do they predict individual rather than population risk? (2014)

First Author: Van Staa TP
Attributed to:  Health e-Research Centre -HeRC funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pone.0106455

PubMed Identifier: 25271417

Publication URI: http://europepmc.org/abstract/MED/25271417

Type: Journal Article/Review

Volume: 9

Parent Publication: PloS one

Issue: 10

ISSN: 1932-6203