Marginal longitudinal semiparametric regression via penalized splines
Type
ArticleKAUST Grant Number
KUS-CI-016-04Date
2010-08Permanent link to this record
http://hdl.handle.net/10754/598758
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Show full item recordAbstract
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 BVJournal
Statistics & Probability LettersPubMed ID
21037941PubMed Central ID
PMC2964941ae974a485f413a2113503eed53cd6c53
10.1016/j.spl.2010.04.002