The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Sample sizes in COVID-19–related research

Sample sizes in COVID-19–related research
Sample sizes in COVID-19–related research
Letter: Cheung and colleagues warned that underpowered studies that committed a type II error will discourage clinicians from using effective treatment.1 I agreed with this argument. Because the number of published clinical trials on coronavirus disease 2019 (COVID-19) patients has been increasing rapidly, I have reviewed all these trials published between Jan. 1, 2020, and Mar. 25, 2020, and indexed in PubMed, and assessed the quality of their sample size calculation.
0820-3946
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951

Lee, Paul H. (2020) Sample sizes in COVID-19–related research. CMAJ, 192 (17), [E461]. (doi:10.1503/cmaj.75308).

Record type: Letter

Abstract

Letter: Cheung and colleagues warned that underpowered studies that committed a type II error will discourage clinicians from using effective treatment.1 I agreed with this argument. Because the number of published clinical trials on coronavirus disease 2019 (COVID-19) patients has been increasing rapidly, I have reviewed all these trials published between Jan. 1, 2020, and Mar. 25, 2020, and indexed in PubMed, and assessed the quality of their sample size calculation.

This record has no associated files available for download.

More information

Published date: 27 April 2020
Additional Information: © 2020 Joule Inc. or its licensors

Identifiers

Local EPrints ID: 475050
URI: http://eprints.soton.ac.uk/id/eprint/475050
DOI: doi:10.1503/cmaj.75308
ISSN: 0820-3946
PURE UUID: 0ac5be34-62d1-45a3-9266-158d3516e58c
ORCID for Paul H. Lee: ORCID iD orcid.org/0000-0002-5729-6450

Catalogue record

Date deposited: 09 Mar 2023 18:49
Last modified: 06 Jun 2024 02:15

Export record

Altmetrics

Contributors

Author: Paul H. Lee ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×