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Biblio

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[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
Clement L, De Beuf K, Thas O, Vuylsteke M, Irizarry R, Crainiceanu C.  2012.  Fast wavelet based functional models for transcriptome analysis with tiling arrays. Stat Appl Genet Mol Biol. 11:1–36.
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Coughlin JM, Wang Y, Munro CA, Ma S, Yue C, Chen S, Airan R, Kim PK, Adams AV, Garcia C et al..  2014.  Neuroinflammation and brain atrophy in former NFL players: An in vivo multimodal imaging pilot study.. Neurobiol Dis. 74C:58-65.
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Crainiceanu C, Staicu AM, Ray S, Punjabi N.  2012.  Bootstrap-based inference on the difference in the means of two correlated functional processes.. Stat Med.
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Crainiceanu C, Ruppert D, Stedinger JR, Behr CT.  2002.  Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies. Case Studies in Bayesian Statistics, Volume V (Lecture Notes in Statistics Vol. 162). :207–221.
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Crainiceanu C, Ruppert D, Claeskens G, Wand MP.  2005.  Exact Likelihood Ratio Tests for Penalised Splines. Biometrika. 92:91–103.
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Crainiceanu C.  2009.  Comment on ’’Bayesian Generalized Method of Moments’’ (Pkg: P191-222). Bayesian Analysis. 4:213–216.
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Crainiceanu C, Diggle PJ, Rowlingson B.  2008.  Bivariate Binomial Spatial Modeling of Loa Loa Prevalence in Tropical Africa. Journal of the American Statistical Association. 103:21–37.
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Crainiceanu C, Goldsmith J.  2010.  Bayesian Functional Data Analysis Using WinBUGS. J Stat Softw. 32
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Crainiceanu C, Caffo B, Luo S, Zipunnikov V, Punjabi N.  2011.  Population value decomposition, a framework for the analysis of image populations. Journal of the American Statistical Association, with discussion and rejoinder. 106:775-790.
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Crainiceanu C, Caffo B, Di C-Z, Punjabi NM.  2009.  Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep. Journal of the American Statistical Association. 104:541–555.
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Crainiceanu C.  2007.  Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches: Hulin Wu and Jin-Ting Zhang. Journal of the American Statistical Association. 102:761–761.
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Crainiceanu C, Ruppert D.  2004.  Restricted Likelihood Ratio Tests in Nonparametric Longitudinal Models. Statistica Sinica. 14:713–729.
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Crainiceanu C, Caffo B, Di C, Punjabi N.  2009.  Nonparametric signal extraction and measurement error in the analysis of electroencephalographic activity during sleep. Journal of the American Statistical Association, PMCID: PMC2802498. 104:541–555.
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Crainiceanu C, Dominici F, Parmigiani G.  2008.  Adjustment Uncertainty in Effect Estimation. Biometrika. 95:635–651.
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Crainiceanu C, Staicu AM, Di CZ.  2009.  Generalized Multilevel Functional Regression. J Am Stat Assoc. 104:1550–1561.
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Crainiceanu C, Ruppert D, Carroll RJ, Joshi A, Goodner B.  2007.  Spatially Adaptive Bayesian Penalized Splines with Heteroscedastic Errors. Journal of Computational and Graphical Statistics. 16:265–288.
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Crainiceanu C, Diggle PJ, Rowlingson B.  2008.  Rejoinder. Journal of the American Statistical Association. 103:43–43.
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Crainiceanu C, Staicu AM.  2012.  Discussion of `Clustering random curves under spatial interdependence with application to service accessibility'. Technometrics. :toappear.
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Crainiceanu C, Ruppert D.  2004.  Likelihood Ratio Tests in Linear Mixed Models with One Variance Component. Journal of the Royal Statistical Society, Series B: Statistical Methodology. 66:165–185.
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Cribben I, Wager TD, Lindquist MA.  2013.  Detecting functional connectivity change points for single-subject fMRI data.. Front Comput Neurosci. 7:143.
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Cribben I, Haraldsdottir R, Atlas LY, Wager TD, Lindquist MA.  2012.  Dynamic connectivity regression: determining state-related changes in brain connectivity.. Neuroimage. 61(4):907-20.
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Cribben I, Haraldsdottir R, Atlas LY, Wager TD, Lindquist MA.  2012.  Dynamic connectivity regression: Determining state-related changes in brain connectivity. NeuroImage.
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D
De Beuf K, Pipelers P, Andriankaja M, Thas O, Inzé D, Crainiceanu C, Clement L.  2012.  Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling.. BMC Bioinformatics. 13(1):234.
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Degras D, Lindquist MA.  2014.  A hierarchical model for simultaneous detection and estimation in multi-subject fMRI studies.. Neuroimage. 98:61-72.
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Di C, Crainiceanu CM, Jank WS.  2014.  Multilevel sparse functional principal component analysis.. Stat. 3(1):126-143.
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