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COMPARISON OF METHODS FOR GROWTH CHART CONSTRUCTION IN THE CANADIAN HEALTH MEASURES SURVEY

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dc.contributor.authorBryan, Maguire
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Mathematics & Statistics - Statistics Divisionen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Joanna Mills-Flemmingen_US
dc.contributor.manuscriptsYesen_US
dc.contributor.thesis-readerDr. Smith, Bruceen_US
dc.contributor.thesis-readerDr. Dowd, Michaelen_US
dc.contributor.thesis-supervisorDr. David Hamiltonen_US
dc.contributor.thesis-supervisorDr. Stefan Kuhleen_US
dc.date.accessioned2016-08-23T12:14:54Z
dc.date.available2016-08-23T12:14:54Z
dc.date.defence2016-06-15
dc.date.issued2016-08-23T12:14:54Z
dc.description.abstractQuantile and GAMLSS methods for growth curves are described and applied to data from the Canadian Health Measures Survey for child Body Mass Index (BMI) and triceps skinfold thickness. Both methods use cubic splines and GAIC is used to determine the extent of smoothness. Diagnostic worm plots were used to re ne the models. A measure of smoothness of the nal quantiles was developed and applied to the curves.en_US
dc.identifier.urihttp://hdl.handle.net/10222/72091
dc.language.isoenen_US
dc.subjectStatisticsen_US
dc.subjectCHMSen_US
dc.subjectGrowth Charts--Surveys
dc.titleCOMPARISON OF METHODS FOR GROWTH CHART CONSTRUCTION IN THE CANADIAN HEALTH MEASURES SURVEYen_US

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