UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes

Pavlou, M; Ambler, G; Seaman, S; Omar, RZ; (2015) A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes. BMC Med Res Methodol , 15 , Article 59. 10.1186/s12874-015-0046-6. Green open access

[thumbnail of A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes..pdf]
Preview
Text
A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes..pdf

Download (624kB) | Preview

Abstract

Clustered data with binary outcomes are often analysed using random intercepts models or generalised estimating equations (GEE) resulting in cluster-specific or 'population-average' inference, respectively.

Type: Article
Title: A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/s12874-015-0046-6
Publisher version: http://dx.doi.org/10.1186/s12874-015-0046-6
Additional information: © 2015 Pavlou et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1472711
Downloads since deposit
7,752Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item