Mousa Alavi
Using risk and odds ratios to assess effect size for meta-analysis outcome measures
Alavi, Mousa; Hunt, Glenn E.; Visentin, Denis C.; Watson, Roger; Thapa, Deependra K.; Cleary, Michelle
Authors
Glenn E. Hunt
Denis C. Visentin
Professor Roger Watson R.Watson@hull.ac.uk
Honourary Professor of Nursing
Deependra K. Thapa
Michelle Cleary
Citation
Alavi, M., Hunt, G. E., Visentin, D. C., Watson, R., Thapa, D. K., & Cleary, M. (2020). Using risk and odds ratios to assess effect size for meta-analysis outcome measures. Journal of advanced nursing, 76(12), 3231-3234. https://doi.org/10.1111/jan.14528
Journal Article Type | Editorial |
---|---|
Acceptance Date | Aug 19, 2020 |
Online Publication Date | Oct 13, 2020 |
Publication Date | 2020-12 |
Deposit Date | Oct 19, 2020 |
Publicly Available Date | Oct 14, 2021 |
Journal | Journal of Advanced Nursing |
Print ISSN | 0309-2402 |
Publisher | Wiley |
Peer Reviewed | Not Peer Reviewed |
Volume | 76 |
Issue | 12 |
Pages | 3231-3234 |
DOI | https://doi.org/10.1111/jan.14528 |
Keywords | General Nursing |
Public URL | https://hull-repository.worktribe.com/output/3644041 |
Publisher URL | https://onlinelibrary.wiley.com/doi/10.1111/jan.14528 |
Files
Article
(276 Kb)
PDF
Copyright Statement
©2020 The authors. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder
You might also like
Is the PhD well for nursing faculty running dry?
(2021)
Journal Article
An international e-Delphi study to identify core competencies for Italian cardiac nurses
(2021)
Journal Article
A change of Editor in Chief: Reflections and looking ahead
(2021)
Journal Article
Advancing the science and practice of nursing
(2020)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search