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Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials.

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Title: Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials.
Authors: Wang R; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA., Cen M; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA., Huang Y; Vaccine and Infectious Disease and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA., Qian G; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK., Dean NE; Department of Biostatistics & Bioinformatics, Emory University, Atlanta, Georgia, USA., Ellenberg SS; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Fleming TR; Department of Biostatistics, University of Washington, Seattle, Washington, USA., Lu W; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA., Longini IM; Department of Biostatistics, University of Florida, Gainesville, Florida, USA.
Source: Statistics in medicine [Stat Med] 2024 Apr 15; Vol. 43 (8), pp. 1627-1639. Date of Electronic Publication: 2024 Feb 13.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+R%22">Wang R</searchLink>; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Cen+M%22">Cen M</searchLink>; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Vaccine and Infectious Disease and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.<br /><searchLink fieldCode="AU" term="%22Qian+G%22">Qian G</searchLink>; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Dean+NE%22">Dean NE</searchLink>; Department of Biostatistics & Bioinformatics, Emory University, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Ellenberg+SS%22">Ellenberg SS</searchLink>; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Fleming+TR%22">Fleming TR</searchLink>; Department of Biostatistics, University of Washington, Seattle, Washington, USA.<br /><searchLink fieldCode="AU" term="%22Lu+W%22">Lu W</searchLink>; Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Longini+IM%22">Longini IM</searchLink>; Department of Biostatistics, University of Florida, Gainesville, Florida, USA.
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              Text: 2024 Apr 15
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