Article: Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong

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TitleApplications of additive semivarying coefficient models: Monthly suicide data from Hong Kong
AuthorsHuggins, RM2
Hall, P2
Yip, PSF1
Bui, QM3
KeywordsLocal polynomial model
Longitudinal data
Semivarying coefficients
Suicide
Issue Date2007
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
CitationBiometrics, 2007, v. 63 n. 3, p. 708-713 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1541-0420.2006.00727.x
AbstractA semivarying coefficient model for the monthly numbers of suicides in Hong Kong is developed and a new estimation procedure for estimating the parametric component is proposed. The estimators are examined in a small simulation study and fitted to monthly suicide data to estimate a nonparametric long-term trend and parametric seasonal and socioeconomic effects. Fitting the model detected interpretable structure in the data that is consistent with that driving public health policy. While exploratory, the analysis motivates the collection of more detailed data and the development of more sophisticated models to help determine target groups and strategies to reduce the suicide rate in Hong Kong. © 2006, The International Biometric Society.
ISSN0006-341X
2011 Impact Factor: 1.827
2011 SCImago Journal Rankings: 0.146
DOIhttp://dx.doi.org/10.1111/j.1541-0420.2006.00727.x
ISI Accession Number IDWOS:000248947200011
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorHuggins, RM
dc.contributor.authorHall, P
dc.contributor.authorYip, PSF
dc.contributor.authorBui, QM
dc.date.accessioned2010-09-06T09:34:24Z
dc.date.available2010-09-06T09:34:24Z
dc.date.issued2007
dc.description.abstractA semivarying coefficient model for the monthly numbers of suicides in Hong Kong is developed and a new estimation procedure for estimating the parametric component is proposed. The estimators are examined in a small simulation study and fitted to monthly suicide data to estimate a nonparametric long-term trend and parametric seasonal and socioeconomic effects. Fitting the model detected interpretable structure in the data that is consistent with that driving public health policy. While exploratory, the analysis motivates the collection of more detailed data and the development of more sophisticated models to help determine target groups and strategies to reduce the suicide rate in Hong Kong. © 2006, The International Biometric Society.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationBiometrics, 2007, v. 63 n. 3, p. 708-713 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1541-0420.2006.00727.x
dc.identifier.citeulike1618439
dc.identifier.doihttp://dx.doi.org/10.1111/j.1541-0420.2006.00727.x
dc.identifier.epage713
dc.identifier.hkuros152811
dc.identifier.isiWOS:000248947200011
dc.identifier.issn0006-341X
2011 Impact Factor: 1.827
2011 SCImago Journal Rankings: 0.146
dc.identifier.issue3
dc.identifier.openurl
dc.identifier.pmid17825004
dc.identifier.scopuseid_2-s2.0-34548401261
dc.identifier.spage708
dc.identifier.urihttp://hdl.handle.net/10722/87785
dc.identifier.volume63
dc.languageeng
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
dc.publisher.placeUnited Kingdom
dc.relation.ispartofBiometrics
dc.relation.referencesReferences in Scopus
dc.rightsBiometrics. Copyright © Blackwell Publishing Ltd.
dc.subjectLocal polynomial model
dc.subjectLongitudinal data
dc.subjectSemivarying coefficients
dc.subjectSuicide
dc.titleApplications of additive semivarying coefficient models: Monthly suicide data from Hong Kong
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Australian National University
  3. University of Melbourne