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dc.contributor.authorDeMets, David L.en_US
dc.contributor.authorStormo, Garyen_US
dc.contributor.authorBoehnke, Michaelen_US
dc.contributor.authorLouis, Thomas A.en_US
dc.contributor.authorTaylor, Jeremyen_US
dc.contributor.authorDixon, Dennisen_US
dc.date.accessioned2007-09-20T17:42:52Z
dc.date.available2008-01-03T16:19:38Zen_US
dc.date.issued2006-10-30en_US
dc.identifier.citationDeMets, David L.; Stormo, Gary; Boehnke, Michael; Louis, Thomas A.; Taylor, Jeremy; Dixon, Dennis (2006). "Training of the next generation of biostatisticians: a call to action in the U.S.." Statistics in Medicine 25(20): 3415-3429. <http://hdl.handle.net/2027.42/55834>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/55834
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16927449&dopt=citationen_US
dc.description.abstractTwo workshops (2001, 2003) were held by the National Institutes of Health (NIH) to examine the need to train more biostatisticians in the U.S. to meet the increasing opportunities in the biomedical research enterprise. The supply of new PhD graduates in biostatistics in the U.S. has been relatively steady for the past two decades while the demand has increased dramatically. These workshops concluded that a renewed effort must be made in the U.S., led in part by the NIH, to add to and expand the existing training programs to increase the supply. This article summarizes those two workshops and their recommendations. Some progress has been made through a new biostatistics training program with emphasis in bioinformatics sponsored by the National Institute of General Medical Sciences (NIGMS). Copyright © 2006 John Wiley & Sons, Ltd.en_US
dc.format.extent159166 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherMathematics and Statisticsen_US
dc.titleTraining of the next generation of biostatisticians: a call to action in the U.S.en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Biostatistics and Medical Informatics, University of Wisconsin, School of Medicine & Public Health, 600 Highland Avenue, Box 4675, Madison, WI 53792, U.S.A. ; Department of Biostatistics and Medical Informatics, University of Wisconsin, School of Medicine & Public Health, 600 Highland Avenue, Box 4675, Madison, WI 53792, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Genetics, Washington University School of Medicine, St. Louis, MO, U.S.A.en_US
dc.contributor.affiliationotherBiostatistics Department, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, U.S.A.en_US
dc.contributor.affiliationotherNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, U.S.A.en_US
dc.identifier.pmid16927449en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/55834/1/2668_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/sim.2668en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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