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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.

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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

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Date deposited: 09 Mar 2023 18:49
Last modified: 17 Mar 2024 04:16

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Author: Paul H. Lee ORCID iD

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