@article {684,
	title = {Corrected confidence bands for functional data using principal components.},
	journal = {Biometrics},
	volume = {69},
	year = {2013},
	month = {2013 Mar},
	pages = {41-51},
	abstract = {<p>Functional principal components (FPC) analysis is widely used to decompose and express functional observations. Curve estimates implicitly condition on basis functions and other quantities derived from FPC decompositions; however these objects are unknown in practice. In this article, we propose a method for obtaining correct curve estimates by accounting for uncertainty in FPC decompositions. Additionally, pointwise and simultaneous confidence intervals that account for both model- and decomposition-based variability are constructed. Standard mixed model representations of functional expansions are used to construct curve estimates and variances conditional on a specific decomposition. Iterated expectation and variance formulas combine model-based conditional estimates across the distribution of decompositions. A bootstrap procedure is implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably to competing approaches in simulation studies that include both densely and sparsely observed functions. We apply our method to sparse observations of CD4 cell counts and to dense white-matter tract profiles. Code for the analyses and simulations is publicly available, and our method is implemented in the R package refund on CRAN.</p>},
	keywords = {Brain, CD4 Lymphocyte Count, Computer Simulation, Confidence Intervals, HIV, HIV Infections, Humans, Magnetic Resonance Imaging, Models, Statistical, Multiple Sclerosis, Principal Component Analysis},
	issn = {1541-0420},
	doi = {10.1111/j.1541-0420.2012.01808.x},
	author = {Goldsmith, J and Greven, S and Crainiceanu, C}
}
@article {nicole,
	title = {Distribution of cell-free and cell-associated HIV surrogates in the female genital tract following simulated vaginal intercourse},
	journal = {Appeared online in the Journal of Infectious Diseases},
	year = {2012},
	author = {Louissaint, N and Nimmagadda, S and Bakshi, R and Du, Y and Macura, K and King, K and Wahl, R and Goldsmith, J and Caffo, B and Cao, Y and Anderson, J and Fuchs, E and Hendrix, C}
}
@article {goldsmith,
	title = {Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements},
	journal = {Journal of the Royal Statistical Society Series C},
	number = {61},
	year = {2012},
	pages = {453{\textendash}469},
	author = {Goldsmith, J and Crainiceanu, C and Caffo, B and Reich, D.}
}
@article {BaGoCaGlCr2012,
	title = {Movelets: A dictionary of movement},
	journal = {Electronic Journal of Statistics},
	volume = {6},
	year = {2012},
	pages = {559-578},
	issn = {1935-7524},
	doi = {10.1214/12-EJS684},
	author = {Bai, J and Goldsmith, J and Caffo, B and Glass, T and Crainiceanu, C}
}
@article {goldsmithNI,
	title = {Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis},
	journal = {Accepted in Neuroimage, PMCID: PMC3114268},
	year = {2012},
	author = {Goldsmith, J and Crainiceanu, C and Caffo, B and Reich, D.}
}
@article {pmid22442041,
	title = {Predicting Breakdown of the Blood-Brain Barrier in Multiple Sclerosis without Contrast Agents},
	journal = {AJNR Am J Neuroradiol},
	year = {2012},
	month = {Mar},
	author = {Shinohara, R and Goldsmith, J and Mateen, F J and Crainiceanu, C and Reich, D S}
}
@article {nicole2,
	title = {Distribution of Cell-free and Cell-associated HIV surrogates in the Colon Following Simulated Receptive Anal Intercourse in Healthy Men},
	journal = {Journal of Acquired Immune Defficiency Syndromes, Basic and Translational Science},
	volume = {59},
	number = {1},
	year = {2011},
	pages = {10{\textendash}17},
	author = {Louissaint, N and Nimmagadda, S and Fuchs, E and Bashki, R and Cao, Y and Lee, L and Goldsmith, J and Caffo, B and Du, Y and King, K and Menendez, F and Torbenson, M and Hendrix, C}
}
@article {Gold:Wand:Crai:func:2011,
	title = {Functional Regression Via Variational Bayes},
	journal = {Electronic Journal of Statistics},
	volume = {5},
	year = {2011},
	pages = {572{\textendash}602},
	keywords = {approximate Bayesian inference, Markov chain Monte Carlo, penalized splines},
	author = {Goldsmith, J and Wand, Matt P. and Crainiceanu, C}
}
@article {goldsmithAAS,
	title = {Nonlinear tube-fitting for the analysis of anatomical and functional structures},
	journal = {Annals of Applied Statistics, PMCID: PMC3119905},
	volume = {5},
	number = {1},
	year = {2011},
	pages = {337-363},
	issn = {1932-6157},
	doi = {10.1214/10-AOAS384},
	author = {Goldsmith, J and Caffo, B and Crainiceanu, C and Reich, D. and Du, Y and Hendrix, C}
}
@article {doi:10.1198/jcgs.2010.10007,
	title = {Penalized Functional Regression},
	journal = {Journal of Computational and Graphical Statistics},
	volume = {20},
	number = {4},
	year = {2011},
	pages = {830-851},
	doi = {10.1198/jcgs.2010.10007},
	url = {http://pubs.amstat.org/doi/abs/10.1198/jcgs.2010.10007},
	author = {Goldsmith, J and Bobb, J. and Crainiceanu, C and Caffo, B and Reich, D.}
}
@article {pmid21554962,
	title = {Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis},
	journal = {Neuroimage},
	volume = {57},
	number = {2},
	year = {2011},
	month = {Jul},
	pages = {431{\textendash}439},
	author = {Goldsmith, J and Crainiceanu, C and Caffo, B and Reich, D S}
}
@article {pmid21743798,
	title = {Bayesian Functional Data Analysis Using WinBUGS},
	journal = {J Stat Softw},
	volume = {32},
	number = {11},
	year = {2010},
	month = {Jan},
	author = {Crainiceanu, C and Goldsmith, J}
}
