Aggregating data from COVID-19 trials.

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Bibliographic Details
Title: Aggregating data from COVID-19 trials.
Authors: Ogburn EL; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA. eogburn@jhsph.edu., Bierer BE; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.; Harvard Medical School, Boston, MA 02115, USA., Brookmeyer R; Fielding School of Public Health and Department of Biostatistics, University of California Los Angeles, Los Angeles, CA 90095, USA., Choirat C; Swiss Data Science Center, ETH Zürich and EPFL, 1015 Lausanne, Switzerland., Dean NE; Department of Biostatistics, University of Florida, Gainesville, FL 32611, USA., De Gruttola V; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA 02115, USA., Ellenberg SS; Department of Biostatistics, Epidemiology, and Informatics and Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Halloran ME; Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA., Hanley DF Jr; Johns Hopkins Institute of Clinical and Translational Research, Baltimore, MD 21202, USA., Lee JK; Covid-19 Collaboration Platform, Boston, MA 02118, USA., Wang R; Harvard Medical School, Boston, MA 02115, USA.; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA., Scharfstein DO; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Source: Science (New York, N.Y.) [Science] 2020 Jun 12; Vol. 368 (6496), pp. 1198-1199.
Publication Type: Letter; Comment
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1095-9203
DOI:10.1126/science.abc8993