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dc.contributor.authorHitchings, MD
dc.contributor.authorGrais, RF
dc.contributor.authorLipsitch, M
dc.date.accessioned2017-03-30T13:32:21Z
dc.date.available2017-03-30T13:32:21Z
dc.date.issued2017-03-22
dc.date.submitted2017-03-29
dc.identifier.citationUsing Simulation to Aid Trial Design: Ring-Vaccination Trials. 2017, 11 (3):e0005470 PLoS Negl Trop Disen
dc.identifier.issn1935-2735
dc.identifier.pmid28328984
dc.identifier.doi10.1371/journal.pntd.0005470
dc.identifier.urihttp://hdl.handle.net/10144/618875
dc.description.abstractThe 2014-6 West African Ebola epidemic highlights the need for rigorous, rapid clinical trial methods for vaccines. A challenge for trial design is making sample size calculations based on incidence within the trial, total vaccine effect, and intracluster correlation, when these parameters are uncertain in the presence of indirect effects of vaccination.
dc.language.isoenen
dc.publisherPublic Library of Scienceen
dc.rightsArchived with thanks to PLoS Neglected Tropical Diseasesen
dc.titleUsing Simulation to Aid Trial Design: Ring-Vaccination Trials.en
dc.identifier.journalPLoS Neglected Tropical Diseasesen
refterms.dateFOA2019-03-04T13:15:45Z
html.description.abstractThe 2014-6 West African Ebola epidemic highlights the need for rigorous, rapid clinical trial methods for vaccines. A challenge for trial design is making sample size calculations based on incidence within the trial, total vaccine effect, and intracluster correlation, when these parameters are uncertain in the presence of indirect effects of vaccination.


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