@article{28b75637658045e2aa4546ca10b97aa1,
title = "Nonparametric signal extraction and measurement error in the analysis of electroencephalographic activity during sleep",
abstract = "We introduce methods for signal and associated variability estimation based on hierarchical nonparametric smoothing with application to the Sleep Heart Health Study (SHHS). SHHS is the largest electroencephalographic (EEG) collection of sleep-related data, which contains, at each visit, two quasi-continuous EEG signals for each subject. The signal features extracted from EEG data are then used in second level analyses to investigate the relation between health, behavioral, or biometric outcomes and sleep. Using subject specific signals estimated with known variability in a second level regression becomes a nonstandard measurement error problem.We propose and implement methods that take into account cross-sectional and longitudinal measurement error. The research presented here forms the basis for EEG signal processing for the SHHS.",
keywords = "Hierarchical smoothing, Penalized splines, Sleep, measurement error",
author = "Crainiceanu, {Ciprian M.} and Caffo, {Brian S.} and Di, {Chong Zhi} and Punjabi, {Naresh M.}",
note = "Funding Information: Ciprian M. Crainiceanu is Assistant Professor, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205 (E-mail: ccrainic@jhsph.edu). Brian Caffo is Associate Professor, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205 (E-mail: bcaffo@jhsph.edu). Chongzhi Di is Ph.D. candidate, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205 (E-mail: cdi@jhsph.edu). Naresh M. Punjabi is Associate Professor, Department of Epidemiology, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD 21205 (E-mail: npunbjabi@jhmi.edu). Supported by NIH grant AG025553-02. Supported by the grants R01NS060910 from the National Institute of Neurological Disorders and Stroke, HL083640, HL07578, and AG025553 from the National Heart, Lung, and Blood Institute and K25EB003491 from the National Institute of Biomedical Imaging and BioEngineering.",
year = "2009",
month = jun,
doi = "10.1198/jasa.2009.0020",
language = "English (US)",
volume = "104",
pages = "541--555",
journal = "Journal of the American Statistical Association",
issn = "0162-1459",
publisher = "Taylor and Francis Ltd.",
number = "486",
}