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    Marginal longitudinal semiparametric regression via penalized splines

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    Type
    Article
    Authors
    Al Kadiri, M.
    Carroll, R.J.
    Wand, M.P.
    KAUST Grant Number
    KUS-CI-016-04
    Date
    2010-08
    Permanent link to this record
    http://hdl.handle.net/10754/598758
    
    Metadata
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    Abstract
    We study the marginal longitudinal nonparametric regression problem and some of its semiparametric extensions. We point out that, while several elaborate proposals for efficient estimation have been proposed, a relative simple and straightforward one, based on penalized splines, has not. After describing our approach, we then explain how Gibbs sampling and the BUGS software can be used to achieve quick and effective implementation. Illustrations are provided for nonparametric regression and additive models.
    Citation
    Al Kadiri M, Carroll RJ, Wand MP (2010) Marginal longitudinal semiparametric regression via penalized splines. Statistics & Probability Letters 80: 1242–1252. Available: http://dx.doi.org/10.1016/j.spl.2010.04.002.
    Sponsors
    Wand’s research was partially supported by Australian Research Council Discovery Project DP0877055. Carroll’s research was supported by a grant from the US National Cancer Institute (CA57030) and by Award Number KUS-CI-016-04, made by King Abdullah University of Science and Technology, Saudi Arabia.
    Publisher
    Elsevier BV
    Journal
    Statistics & Probability Letters
    DOI
    10.1016/j.spl.2010.04.002
    PubMed ID
    21037941
    PubMed Central ID
    PMC2964941
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.spl.2010.04.002
    Scopus Count
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