D016014Concepts & IdeasE05.318.740.500.500E05.318.740.750.425E05.599.835.750N05.715.360.750.530.460N05.715.360.750.695.460N06.850.520.830.500.500N06.850.520.830.750.4252444190.889304Linear Modelsplugins:TwitterTwitterprns:fullNamefull nameprns:hasAuthorListauthor listprns:hasNetworkhas networkprns:hasPublicationVenuepublished inprns:informationResourceReferenceinformation resource referenceprns:isPrimaryPositionis primary positionprns:latitudelatitudeprns:longitudelongitudeprns:mainImagephotoprns:maxWeightmaximum weightprns:medlineTAjournal title abbreviationprns:meshDescriptorUIMeSH DescriptorUIprns:meshSemanticGroupNameMeSH semantic group nameprns:meshTreeNumberMeSH tree numberprns:minWeightminimum weightprns:numberOfAuthorsnumber of authorsprns:numberOfConnectionsnumber of connectionsprns:numberOfPublicationsnumber of publicationsprns:personIdPerson IDprns:personInPrimaryPositionperson in primary positionprns:pluginSearchableDataProfilesRNS Plugin Searchable Dataprns:positionInDepartmentposition in departmentprns:predicateNodepredicate nodeprns:publicationDatepublication dateprns:sortOrdersort orderprns:uniquenessWeightuniqueness weightprns:yearyearAcademic ArticleArticleDocumentbibo:pmidPubMed IdentifierDepartmentvivo:hrJobTitleHR job titleInformation Resourcevivo:linkAnchorTextlink anchor textPositionvivo:positionInOrganizationposition in organizationvivo:preferredTitlepreferred titlevivo:researchAreaOfresearch area ofvivo:subjectAreaForsubject area forURLLinkvivo:webpagewebpagerdf:predicatepredicaterdf:typetyperdfs:labellabelConceptAgentfoaf:firstNamefirst namefoaf:lastNamelast nameOrganizationPerson19344199Eren-Oruklu M, Cinar A, Quinn L, Smith DDiabetes technology & therapeuticsEstimation of future glucose concentrations with subject-specific recursive linear models. Diabetes Technol Ther. 2009 Apr; 11(4):243-53.Diabetes Technol Ther2009-04-01T00:00:002009Estimation of future glucose concentrations with subject-specific recursive linear models.0.7022240.00703325244research area of0.4961720.0269376406subject area for19822471Chen W, Metz CE, Giger ML, Drukker KIEEE transactions on medical imagingA novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.IEEE Trans Med Imaging2009-10-09T00:00:002009A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications.23039691Wallace EW, Gillespie DT, Sanft KR, Petzold LRIET systems biologyLinear noise approximation is valid over limited times for any chemical system that is sufficiently large. IET Syst Biol. 2012 Aug; 6(4):102-15.IET Syst Biol2012-08-01T00:00:002012Linear noise approximation is valid over limited times for any chemical system that is sufficiently large.Public Health SciencesDonaldHedekerDonald Hedeker0.000000000000000.000000000000003108Hedeker, DonaldProfessorhttp://health.bsd.uchicago.edu/PersonProfile/Donald-HedekerDepartment Profilehttps://voices.uchicago.edu/hedeker/Don Hedeker's Statistical Sitehttp://stephenslab.uchicago.edu/lab websitehttps://github.com/stephenslabgithub pagemstephens999MatthewStephensMatthew Stephens0.000000000000000.000000000000003155Stephens, MatthewProfessorHuman GeneticsUniversity of ChicagoXiangZhouXiang Zhou41.78927490000000-87.601250000000001144Zhou, XiangPostdoctoral ScholarEmilCoccaroEmil F. Coccaro41.78927490000000-87.601250000000001632Coccaro, EmilProfessorRoberto M.LangRoberto M. Lang41.78927490000000-87.601250000000002399Lang, Roberto M.Professortrue1Postdoctoral ScholarPostdoctoral Scholartrue1ProfessorProfessortrue1ProfessorProfessortrue1ProfessorProfessortrue1ProfessorProfessor24531419Zhou X, Stephens MNature methodsEfficient multivariate linear mixed model algorithms for genome-wide association studies. Nat Methods. 2014 Apr; 11(4):407-9.Nat Methods2014-02-16T00:00:002014Efficient multivariate linear mixed model algorithms for genome-wide association studies.Medicine-CardiologyPsychiatry & Behav. NeurosciStatistics 22084038Cheung BL, Nowak R, Lee HC, van Drongelen W, Van Veen BDIEEE transactions on bio-medical engineeringCross validation for selection of cortical interaction models from scalp EEG or MEG. IEEE Trans Biomed Eng. 2012 Feb; 59(2):504-14.IEEE Trans Biomed Eng2011-11-08T00:00:002011Cross validation for selection of cortical interaction models from scalp EEG or MEG.