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Reporting Clinical Studies Affected by the COVID-19 Pandemic: Guidelines for Authors

Educational Objective
To identify the key insights or developments described in this article
1 Credit CME

The coronavirus disease 2019 (COVID-19) pandemic has affected every area of society, and clinical investigation is no exception.1 The unprecedented speed and volume of scientific reports related to COVID-19, while challenging for editors and reviewers, is a testament to investigators’ determination to continue their work.2

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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.

Article Information

Published: January 14, 2021. doi:10.1001/jamanetworkopen.2020.36155

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Perlis RH et al. JAMA Network Open.

Corresponding Author: Roy H. Perlis, MD, MSc, Massachusetts General Hospital and Harvard Medical School, Simches Research Building, 185 Cambridge St, 6th Floor, Boston, MA 02114 (rperlis@mgh.harvard.edu).

Conflict of Interest Disclosures: Dr Perlis reported receiving personal fees from RID Ventures, Psy Therapeutics, Outermost Therapeutics, Belle Artificial Intelligence, Genomind, and Burrage Capital outside the submitted work. No other disclosures were reported.

References
1.
McDermott  MM , Newman  AB .  Preserving clinical trial integrity during the coronavirus pandemic.   JAMA. 2020;323(21):2135-2136. doi:10.1001/jama.2020.4689PubMedGoogle ScholarCrossref
2.
Rivara  FP , Fihn  SD , Perencevich  EN .  JAMA Network Open and COVID-19.   JAMA. 2020;324(12):1153-1154. doi:10.1001/jama.2020.15194PubMedGoogle ScholarCrossref
3.
JAMA Network Open. Instructions for authors: statistical methods and data presentation. Accessed December 7, 2020. https://jamanetwork.com/journals/jamanetworkopen/pages/instructions-for-authors#SecStatisticalMethodsandDataPresentation
4.
Little  RJA , Rubin  DB .  Statistical Analysis With Missing Data. 3rd ed. John Wiley & Sons; 2019.
5.
Daniels  MJ , Hogan  JW .  Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis. CRC Press; 2008. doi:10.1201/9781420011180
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