Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81073
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | - |
dc.creator | Zhao, H | - |
dc.creator | Zhang, Y | - |
dc.creator | Zhao, X | - |
dc.creator | Yu, Z | - |
dc.date.accessioned | 2019-07-22T01:56:36Z | - |
dc.date.available | 2019-07-22T01:56:36Z | - |
dc.identifier.issn | 1017-0405 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/81073 | - |
dc.language.iso | en | en_US |
dc.publisher | Academia Sinica, Institute of Statistical Science | en_US |
dc.rights | Post with permission of the author and publisher. | en_US |
dc.subject | Empirical process | en_US |
dc.subject | Maximum pseudolikelihood estimator | en_US |
dc.subject | Regression splines | en_US |
dc.subject | Wheezing | en_US |
dc.title | A nonparametric regression model for panel count data analysis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 809 | en_US |
dc.identifier.epage | 826 | en_US |
dc.identifier.volume | 29 | en_US |
dc.identifier.doi | 10.5705/ss.202016.0534 | en_US |
dcterms.abstract | Panel count data are commonly encountered in analysis of recurrent events where the exact event times are unobserved. To accommodate the potential non-linear covariate effect, we consider a non-parametric regression model for panel count data. The regression B-splines method is used to estimate the regression function and the baseline mean function. The B-splines-based estimation is shown to be consistent and the rate of convergence is obtained. Moreover, the asymptotic normality for a class of smooth functionals of regression splines estimators is established. Numerical studies were carried out to evaluate the finite sample properties. Finally, we applied the proposed method to analyze the non-linear effect of one of interleukin functions with the risk of childhood wheezing. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Statistica sinica, 2019, v.29, p. 809-826 | - |
dcterms.isPartOf | Statistica sinica | - |
dcterms.issued | 2019 | - |
dc.description.ros | 2018002846 | en_US |
dc.description.validate | 201907 bcwh | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a0341-n01 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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zhao_nonparametric_regression_model.pdf | 403.61 kB | Adobe PDF | View/Open |
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