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A Functional Data Analysis Approach for Circadian Patterns of Activity of Teenage Girls Cover

A Functional Data Analysis Approach for Circadian Patterns of Activity of Teenage Girls

Open Access
|Apr 2015

Authors

Ruzong Fan

fanr@mail.nih.gov

Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852

Victoria Chen

victoria.chen@uconn.edu

Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852

Lanlan Yin

yinl@mail.nih.gov

Glotech, 6100 Executive Blvd, Rockville, MD 20852

Sungduk Kim

kims2@mail.nih.gov

Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852

Paul S Albert

albertp@mail.nih.gov

Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852

Bruce Simons-Morton

mortonb@exchange.nih.gov

Health Behavior Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver} National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD 20852
DOI: https://doi.org/10.5334/jcr.ac | Journal eISSN: 1740-3391
Language: English
Published on: Apr 8, 2015
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 Ruzong Fan, Victoria Chen, Yunlong Xie, Lanlan Yin, Sungduk Kim, Paul S Albert, Bruce Simons-Morton, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.