File Download
 
Links for fulltext
(May Require Subscription)
 
Supplementary

Article: Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong
  • Basic View
  • Metadata View
  • XML View
TitleApplications of additive semivarying coefficient models: Monthly suicide data from Hong Kong
 
AuthorsHuggins, RM3
Hall, P3
Yip, PSF1
Bui, QM2
 
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
2013 Impact Factor: 1.521
 
DOIhttp://dx.doi.org/10.1111/j.1541-0420.2006.00727.x
 
ISI Accession Number IDWOS:000248947200011
 
ReferencesReferences in Scopus
 
DC FieldValue
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
2013 Impact Factor: 1.521
 
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
 
<?xml encoding="utf-8" version="1.0"?>
<item><contributor.author>Huggins, RM</contributor.author>
<contributor.author>Hall, P</contributor.author>
<contributor.author>Yip, PSF</contributor.author>
<contributor.author>Bui, QM</contributor.author>
<date.accessioned>2010-09-06T09:34:24Z</date.accessioned>
<date.available>2010-09-06T09:34:24Z</date.available>
<date.issued>2007</date.issued>
<identifier.citation>Biometrics, 2007, v. 63 n. 3, p. 708-713</identifier.citation>
<identifier.issn>0006-341X</identifier.issn>
<identifier.uri>http://hdl.handle.net/10722/87785</identifier.uri>
<description.abstract>A 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. &#169; 2006, The International Biometric Society.</description.abstract>
<language>eng</language>
<publisher>Blackwell Publishing Ltd. The Journal&apos;s web site is located at http://www.blackwellpublishing.com/journals/BIOM</publisher>
<relation.ispartof>Biometrics</relation.ispartof>
<rights>Biometrics. Copyright &#169; Blackwell Publishing Ltd.</rights>
<subject>Local polynomial model</subject>
<subject>Longitudinal data</subject>
<subject>Semivarying coefficients</subject>
<subject>Suicide</subject>
<title>Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong</title>
<type>Article</type>
<identifier.openurl>http://library.hku.hk:4550/resserv?sid=HKU:IR&amp;issn=0006-341X&amp;volume=63 &amp;issue=3&amp;spage=708&amp;epage=13&amp;date=2007&amp;atitle=Applications+Of+Additive+Semivarying+Coefficient+Models:+Monthly+Suicide+Data+From+Hong+Kong.+</identifier.openurl>
<description.nature>Link_to_subscribed_fulltext</description.nature>
<identifier.doi>10.1111/j.1541-0420.2006.00727.x</identifier.doi>
<identifier.pmid>17825004</identifier.pmid>
<identifier.scopus>eid_2-s2.0-34548401261</identifier.scopus>
<identifier.hkuros>152811</identifier.hkuros>
<relation.references>http://www.scopus.com/mlt/select.url?eid=2-s2.0-34548401261&amp;selection=ref&amp;src=s&amp;origin=recordpage</relation.references>
<identifier.volume>63</identifier.volume>
<identifier.issue>3</identifier.issue>
<identifier.spage>708</identifier.spage>
<identifier.epage>713</identifier.epage>
<identifier.isi>WOS:000248947200011</identifier.isi>
<publisher.place>United Kingdom</publisher.place>
<identifier.citeulike>1618439</identifier.citeulike>
</item>
Author Affiliations
  1. The University of Hong Kong
  2. University of Melbourne
  3. Australian National University