📣 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.

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. (2024)

First Author: Collins GS

Attributed to: Systematic Reviews and Meta-Analysis of Prognosis Studies (REVAMP): development of core methods, reporting guidelines and a methodology handbook funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1136/bmj-2023-078378

PubMed Identifier: 38626948

Publication URI: http://europepmc.org/abstract/MED/38626948

Type: Journal Article/Review

Volume: 385

Parent Publication: BMJ (Clinical research ed.)

ISSN: 0959-8138