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Article: Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
Title | Estimation in a semiparametric model for longitudinal data with unspecified dependence structure |
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Authors | |
Keywords | B-spline M-estimator Mixed model Rate of convergence Regression median Repeated measures |
Issue Date | 2002 |
Publisher | Oxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/ |
Citation | Biometrika, 2002, v. 89 n. 3, p. 579-590 How to Cite? |
Abstract | This paper considers an extension of M-estimators in semiparametric models for independent observations to the case of longitudinal data. We approximate the nonparametric function by a regression spline, and any M-estimation algorithm for the usual linear models can then be used to obtain consistent estimators of the model and valid large-sample inferences about the regression parameters without any specification of the error distribution and the covariance structure. Included as special cases are the analysis of the conditional mean and median functions for longitudinal data. © 2002 Biometrika Trust. |
Persistent Identifier | http://hdl.handle.net/10722/82883 |
ISSN | 2023 Impact Factor: 2.4 2023 SCImago Journal Rankings: 3.358 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | He, X | en_HK |
dc.contributor.author | Zhu, ZY | en_HK |
dc.contributor.author | Fung, WK | en_HK |
dc.date.accessioned | 2010-09-06T08:34:29Z | - |
dc.date.available | 2010-09-06T08:34:29Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.citation | Biometrika, 2002, v. 89 n. 3, p. 579-590 | en_HK |
dc.identifier.issn | 0006-3444 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/82883 | - |
dc.description.abstract | This paper considers an extension of M-estimators in semiparametric models for independent observations to the case of longitudinal data. We approximate the nonparametric function by a regression spline, and any M-estimation algorithm for the usual linear models can then be used to obtain consistent estimators of the model and valid large-sample inferences about the regression parameters without any specification of the error distribution and the covariance structure. Included as special cases are the analysis of the conditional mean and median functions for longitudinal data. © 2002 Biometrika Trust. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Oxford University Press. The Journal's web site is located at http://biomet.oxfordjournals.org/ | en_HK |
dc.relation.ispartof | Biometrika | en_HK |
dc.rights | Biometrika. Copyright © Oxford University Press. | en_HK |
dc.subject | B-spline | en_HK |
dc.subject | M-estimator | en_HK |
dc.subject | Mixed model | en_HK |
dc.subject | Rate of convergence | en_HK |
dc.subject | Regression median | en_HK |
dc.subject | Repeated measures | en_HK |
dc.title | Estimation in a semiparametric model for longitudinal data with unspecified dependence structure | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0006-3444&volume=89&issue=3&spage=579&epage=590&date=2002&atitle=Estimation+in+a+semiparametric+model+for+longitudinal+data+with+unspecified+dependence+structure | en_HK |
dc.identifier.email | Fung, WK: wingfung@hku.hk | en_HK |
dc.identifier.authority | Fung, WK=rp00696 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1093/biomet/89.3.579 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0344128624 | en_HK |
dc.identifier.hkuros | 80144 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0344128624&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 89 | en_HK |
dc.identifier.issue | 3 | en_HK |
dc.identifier.spage | 579 | en_HK |
dc.identifier.epage | 590 | en_HK |
dc.identifier.isi | WOS:000178151800007 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | He, X=7404407842 | en_HK |
dc.identifier.scopusauthorid | Zhu, ZY=23487505000 | en_HK |
dc.identifier.scopusauthorid | Fung, WK=13310399400 | en_HK |
dc.identifier.citeulike | 7558185 | - |
dc.identifier.issnl | 0006-3444 | - |