Rejoinder to “A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine”

Dehan Kong; Arnab Maity; Fang Chi Hsu; Jung Ying Tzeng

doi:10.1111/biom.12786

Rejoinder to “A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine”

Dehan Kong, Arnab Maity, Fang Chi Hsu, Jung Ying Tzeng

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	767-768
Number of pages	2
Journal	Biometrics
Volume	74
Issue number	2
DOIs	https://doi.org/10.1111/biom.12786
Publication status	Published - 2018 Jun

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Agricultural and Biological Sciences(all)
Applied Mathematics

Access to Document

10.1111/biom.12786

Cite this

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title = "Rejoinder to “A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine”",

author = "Dehan Kong and Arnab Maity and Hsu, {Fang Chi} and Tzeng, {Jung Ying}",

note = "Funding Information: Kong{\textquoteright}s research was partially supported by the Natural Sciences and Engineering Research Council of Canada. Maity{\textquoteright}s research was partially supported by NIH grant R00 ES017744 and a NCSU Faculty Research and Professional Development (FRPD) grant. Hsu{\textquoteright}s research was partially supported by NIH grant U01 HG005160. Tzeng{\textquoteright}s research was partially supported by NIH grant P01 CA142538.",

year = "2018",

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journal = "Biometrics",

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AU - Kong, Dehan

AU - Maity, Arnab

AU - Hsu, Fang Chi

AU - Tzeng, Jung Ying

N1 - Funding Information: Kong’s research was partially supported by the Natural Sciences and Engineering Research Council of Canada. Maity’s research was partially supported by NIH grant R00 ES017744 and a NCSU Faculty Research and Professional Development (FRPD) grant. Hsu’s research was partially supported by NIH grant U01 HG005160. Tzeng’s research was partially supported by NIH grant P01 CA142538.

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DO - 10.1111/biom.12786

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JF - Biometrics

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