Simulating hierarchical data to assess the utility of ecological versus multilevel analyses in obtaining individual-level causal effects

Kakampakou, L., Stokes, J., Hoehn, A. et al. (6 more authors) (Accepted: 2025) Simulating hierarchical data to assess the utility of ecological versus multilevel analyses in obtaining individual-level causal effects. BMC Medical Research Methodology. ISSN 1471-2288 (In Press)

Metadata

Item Type: Article
Authors/Creators:
Dates:
  • Accepted: 11 February 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Biomedical & Health
Depositing User: Symplectic Publications
Date Deposited: 21 Feb 2025 11:22
Last Modified: 21 Feb 2025 11:22
Status: In Press
Publisher: Springer Nature
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics


CORE (COnnecting REpositories)