📣 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.

Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome. (2022)

First Author: Riley RD

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/10.1002/sim.9538

PubMed Identifier: 35932153

Publication URI: http://europepmc.org/abstract/MED/35932153

Type: Journal Article/Review

Volume: 41

Parent Publication: Statistics in medicine

Issue: 24

ISSN: 0277-6715