📣 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.

Validation and public health modelling of risk prediction models for kidney cancer using the UK Biobank. (2022)

First Author: Harrison H

Attributed to: Enhancing cardiovascular disease risk prediction through using longitudinal measures of risk factors in clustered data funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/bju.15598

PubMed Identifier: 34538014

Publication URI: http://europepmc.org/abstract/MED/34538014

Type: Journal Article/Review

Volume: 129

Parent Publication: BJU international

Issue: 4

ISSN: 1464-4096