📣 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.

The impact of varying the number and selection of conditions on estimated multimorbidity prevalence: A cross-sectional study using a large, primary care population dataset. (2023)

First Author: MacRae C

Attributed to: Administrative Data Research Centre Wales (Part of ADR UK) funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pmed.1004208

PubMed Identifier: 37014910

Publication URI: http://europepmc.org/abstract/MED/37014910

Type: Journal Article/Review

Volume: 20

Parent Publication: PLoS medicine

Issue: 4

ISSN: 1549-1277