@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 = {

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.

}, 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 {685, title = {Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling.}, journal = {BMC Bioinformatics}, volume = {13}, year = {2012}, month = {2012 Sep 14}, pages = {234}, abstract = {

ABSTRACT: BACKGROUND: Existing statistical methods for tiling array transcriptome data either focus on transcript discovery in one biological or experimental condition or on the detection of differential expression between two conditions. Increasingly often, however, biologists are interested in time-course studies, studies with more than two conditions or even multiple-factor studies. As these studies are currently analyzed with the traditional microarray analysis techniques, they do not exploit the genome-wide nature of tiling array data to its full potential. RESULTS: We present an R Bioconductor package, waveTiling, which implements a wavelet-based model for analyzing transcriptome data and extends it towards more complex experimental designs. With waveTiling the user is able to discover (1) group-wise expressed regions, (2) differentially expressed regions between any two groups in single-factor studies and in (3) multifactorial designs. Moreover, for time-course experiments it is also possible to detect (4) linear time effects and (5) a circadian rhythm of transcripts. By considering the expression values of the individual tiling probes as a function of genomic position, effect regions can be detected regardless of existing annotation. Three case studies with different experimental set-ups illustrate the use and the flexibility of the model-based transcriptome analysis. CONCLUSIONS: The waveTiling package provides the user with a convenient tool for the analysis of tiling array trancriptome data for a multitude of experimental set-ups. Regardless of the study design, the probe-wise analysis allows for the detection of transcriptional effects in both exonic, intronic and intergenic regions, without prior consultation of existing annotation.

}, issn = {1471-2105}, doi = {10.1186/1471-2105-13-234}, author = {De Beuf, K. and Pipelers, Peter and Andriankaja, Megan and Thas, O. and Inz{\'e}, Dirk and Crainiceanu, C and Clement, Lieven} } @article {calSimex, title = {Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX}, journal = {Accepted in Magnetic Resonance in Medicine}, year = {2012}, author = {Lauzon, C and Crainiceanu, C and Caffo, B and Landman, B} } @article {621, title = {Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI.}, journal = {AJNR Am J Neuroradiol}, year = {2012}, month = {2012 Jul 5}, abstract = {

BACKGROUND AND PURPOSE:Detecting incidence and enlargement of lesions is essential in monitoring the progression of MS. In clinical trials, lesion load is observed by manually segmenting and comparing serial MR images, which is time consuming, costly, and prone to inter- and intraobserver variability. Subtracting images from consecutive time points nulls stable lesions, leaving only new lesion activity. We propose SuBLIME, an automated method for segmenting incident lesion voxels.MATERIALS AND METHODS:We used logistic regression models incorporating multiple MR imaging sequences and subtraction images from consecutive longitudinal studies to estimate voxel-level probabilities of lesion incidence. We used T1-weighted, T2-weighted, FLAIR, and PD volumes from a total of 110 MR imaging studies from 10 subjects.RESULTS:To assess the performance of the model, we assigned 5 subjects to a training set and the remaining 5 to a validation set. With SuBLIME, lesion incidence is detected and delineated in the validation set with an AUC of 99\% (95\% CI [97\%, 100\%]) at the voxel level.CONCLUSIONS:This fully automated and computationally fast method allows sensitive and specific detection of lesion incidence that can be applied to large collections of images. Using the explicit form of the statistical model, SuBLIME can easily be adapted to cases when more or fewer imaging sequences are available.

}, issn = {1936-959X}, doi = {10.3174/ajnr.A3172}, author = {Sweeney, E M and Shinohara, R and Shea, C D and Reich, D S and Crainiceanu, C} } @article {landmanb, title = {Biological parametric mapping accounting for random regressors with regression calibration and model II regression}, journal = {Accepted in Neuroimage}, year = {2012}, author = {Yang, X and Lauzon, C and Crainiceanu, C and Caffo, B and Resnick, S and Landman, B} } @article {679, title = {Bootstrap-based inference on the difference in the means of two correlated functional processes.}, journal = {Stat Med}, year = {2012}, month = {2012 Aug 1}, abstract = {

We propose nonparametric inference methods on the mean difference between two correlated functional processes. We compare methods that (1) incorporate different levels of smoothing of the mean and covariance; (2) preserve the sampling design; and (3) use parametric and nonparametric estimation of the mean functions. We apply our method to estimating the mean difference between average normalized δ power of sleep electroencephalograms for 51 subjects with severe sleep apnea and 51 matched controls in the first 4\ ;h after sleep onset. We obtain data from the Sleep Heart Health Study, the largest community cohort study of sleep. Although methods are applied to a single case study, they can be applied to a large number of studies that have correlated functional data. Copyright {\textcopyright} 2012 John Wiley \& Sons, Ltd.

}, issn = {1097-0258}, doi = {10.1002/sim.5439}, author = {Crainiceanu, C and Staicu, A. M. and Ray, Shubankar and Punjabi, Naresh} } @article {pmid22472185, title = {Cadmium Exposure and All Cause and Cardiovascular Mortality in the US General Population}, journal = {Environ Health Perspect}, year = {2012}, month = {Apr}, author = {Tellez-Plaza, M. and Navas-Acien, A. and Menke, A. and Crainiceanu, C and Pastor-Barriuso, R. and Guallar, E.} } @article {cstechn2012, title = {Discussion of {\textquoteleft}Clustering random curves under spatial interdependence with application to service accessibility{\textquoteright}}, journal = {Technometrics}, year = {2012}, pages = {to appear}, author = {Crainiceanu, C and Staicu, A. M.} } @article {pmid22221585, title = {Effect of correcting for long-term variation in major coronary heart disease risk factors: relative hazard estimation and risk prediction in the Atherosclerosis Risk in Communities Study}, journal = {Ann Epidemiol}, volume = {22}, number = {3}, year = {2012}, month = {Mar}, pages = {191{\textendash}197}, author = {Paynter, N. P. and Crainiceanu, C and Sharrett, A. R. and Chambless, L. E. and Coresh, J.} } @article {pmid22499683, title = {Fast wavelet based functional models for transcriptome analysis with tiling arrays}, journal = {Stat Appl Genet Mol Biol}, volume = {11}, number = {1}, year = {2012}, pages = {1{\textendash}36}, author = {Clement, Lieven and De Beuf, K. and Thas, O. and Vuylsteke, M. and Irizarry, R and Crainiceanu, 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 {pmid22241689, title = {Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data}, journal = {Stat Med}, volume = {31}, number = {9}, year = {2012}, month = {Apr}, pages = {855{\textendash}870}, author = {Swihart, B and Caffo, B and Crainiceanu, C and Punjabi, N.M.} } @article {swihartTransition, title = {Models of sleep hypnograms scalable to epidemiological studies}, journal = {Tentatively accepted in Statistics in Medicine}, year = {2012}, author = {Swihart, B and Caffo, B and Crainiceanu, C and Punjabi, N} } @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 {pmid22006982, title = {Optical coherence tomography segmentation reveals ganglion cell layer pathology after optic neuritis}, journal = {Brain}, volume = {135}, number = {Pt 2}, year = {2012}, month = {Feb}, pages = {521{\textendash}533}, author = {Syc, S. B. and Saidha, S. and Newsome, S and Ratchford, J and Levy, M. and Ford, E. and Crainiceanu, C and Durbin, M. K. and Oakley, J. D. and Meyer, S. A. and Frohman, E. M. and Calabresi, P} } @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 {nareshCaffeine, title = {Sleep-Disordered breathing and caffeine consumption: results of a community-based study}, journal = {Accepted in Chest}, year = {2012}, author = {Aurora, RN and Crainiceanu, C and Caffo, B and Punjabi, N} } @article {pmid21995019, title = {Assessment of bias for MRI diffusion tensor imaging using SIMEX}, journal = {Med Image Comput Comput Assist Interv}, volume = {14}, number = {Pt 2}, year = {2011}, pages = {107{\textendash}115}, author = {Lauzon, C and Asman, A. J. and Crainiceanu, C and Caffo, B and Landman, B} } @article {aurora2011correlating, title = {Correlating subjective and objective sleepiness: revisiting the association using survival analysis.}, journal = {Sleep}, volume = {34}, number = {12}, year = {2011}, pages = {1707}, author = {Aurora, RN and Caffo, B and Crainiceanu, C and Punjabi, N} } @article {622, title = {Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).}, journal = {Neuroimage}, volume = {56}, year = {2011}, month = {2011 Jun 15}, pages = {2218-37}, abstract = {

Intracranial EEG studies in humans have shown that functional brain activation in a variety of functional-anatomic domains of human cortex is associated with an increase in power at a broad range of high gamma (\>60Hz) frequencies. Although these electrophysiological responses are highly specific for the location and timing of cortical processing and in animal recordings are highly correlated with increased population firing rates, there has been little direct empirical evidence for causal interactions between different recording sites at high gamma frequencies. Such causal interactions are hypothesized to occur during cognitive tasks that activate multiple brain regions. To determine whether such causal interactions occur at high gamma frequencies and to investigate their functional significance, we used event-related causality (ERC) analysis to estimate the dynamics, directionality, and magnitude of event-related causal interactions using subdural electrocorticography (ECoG) recorded during two word production tasks: picture naming and auditory word repetition. A clinical subject who had normal hearing but was skilled in American Signed Language (ASL) provided a unique opportunity to test our hypothesis with reference to a predictable pattern of causal interactions, i.e. that language cortex interacts with different areas of sensorimotor cortex during spoken vs. signed responses. Our ERC analyses confirmed this prediction. During word production with spoken responses, perisylvian language sites had prominent causal interactions with mouth/tongue areas of motor cortex, and when responses were gestured in sign language, the most prominent interactions involved hand and arm areas of motor cortex. Furthermore, we found that the sites from which the most numerous and prominent causal interactions originated, i.e. sites with a pattern of ERC "divergence", were also sites where high gamma power increases were most prominent and where electrocortical stimulation mapping interfered with word production. These findings suggest that the number, strength and directionality of event-related causal interactions may help identify network nodes that are not only activated by a task but are critical to its performance.

}, keywords = {brain mapping, Cerebral Cortex, Electroencephalography, Female, Humans, Middle Aged, Neural Pathways, Seizures, Signal Processing, Computer-Assisted, Speech}, issn = {1095-9572}, doi = {10.1016/j.neuroimage.2011.03.030}, author = {Korzeniewska, A. and Franaszczuk, Piotr J. and Crainiceanu, C and Ku{\'s}, Rafa{\l} and Crone, Nathan E.} } @article {vadimNI, title = {Functional principal components model for high-dimensional brain imaging}, journal = {Neuroimage, NIHSMID: 316403}, volume = {58}, number = {3}, year = {2011}, pages = {772 {\textendash} 784}, author = {Zipunnikov, V. and Caffo, B and Yousem, D and Davatziko, C and Schwartz, B and Crainiceanu, 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 {pmid21853058, title = {The impact of utilizing different optical coherence tomography devices for clinical purposes and in multiple sclerosis trials}, journal = {PLoS ONE}, volume = {6}, number = {8}, year = {2011}, pages = {e22947}, author = {Warner, C. V. and Syc, S. B. and Stankiewicz, A. M. and Hiremath, G. and Farrell, S and Crainiceanu, C and Conger, A. and Frohman, T. C. and Bisker, E. R. and Balcer, L and Frohman, E. M. and Calabresi, P and Saidha, S.} } @article {shinohara2011longitudinal, title = {Longitudinal Analysis of Spatiotemporal Processes: A Case Study of Dynamic Contrast-Enhanced Magnetic Resonance in Multiple Sclerosis}, journal = {Johns Hopkins University, Dept. of Biostatistics Working Papers}, year = {2011}, pages = {231}, publisher = {bepress}, author = {Shinohara, R and Crainiceanu, C and Caffo, B and Reich, D S} } @article {pmid22050118, title = {Modeling Functional Data with Spatially Heterogeneous Shape Characteristics}, journal = {Biometrics}, year = {2011}, month = {Nov}, author = {Staicu, A. M. and Crainiceanu, C and Reich, D S and Ruppert, D.} } @article {vadimHDMFPCA, title = {Multilevel functional principal component analysis for high-dimensional data}, journal = {Journal of Computational and Graphical Statistics, NIMHID: 306063}, volume = {20}, number = {4}, year = {2011}, pages = {852{\textendash}873}, author = {Zipunnikov, V. and Caffo, B and Crainiceanu, C and Yousem, D and Davatzikos, C. and Schwartz, B} } @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 {doi:10.1198/jasa.2011.ap10089, title = {Population value decomposition, a framework for the analysis of image populations}, journal = {Journal of the American Statistical Association, with discussion and rejoinder}, volume = {106}, number = {495}, year = {2011}, pages = {775-790}, doi = {10.1198/jasa.2011.ap10089}, url = {http://pubs.amstat.org/doi/abs/10.1198/jasa.2011.ap10089}, author = {Crainiceanu, C and Caffo, B and Luo, S and Zipunnikov, V. and Punjabi, N} } @article {takiPCA, title = {Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis}, journal = {Neuroimage, PMCID: PMC3138825}, volume = {57}, number = {4}, year = {2011}, pages = {1430 {\textendash} 1446}, author = {Shinohara, R and Crainiceanu, C and Caffo, B and Gaitan, M and Reich, D.} } @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} } @article {pmid20693268, title = {Cadmium and peripheral arterial disease: gender differences in the 1999-2004 US National Health and Nutrition Examination Survey}, journal = {Am. J. Epidemiol.}, volume = {172}, number = {6}, year = {2010}, month = {Sep}, pages = {671{\textendash}681}, author = {Tellez-Plaza, M. and Navas-Acien, A. and Crainiceanu, C and Sharrett, A. R. and Guallar, E.} } @article {pmid20089508, title = {Fast methods for spatially correlated multilevel functional data}, journal = {Biostatistics}, volume = {11}, number = {2}, year = {2010}, month = {Apr}, pages = {177{\textendash}194}, author = {Staicu, A. M. and Crainiceanu, C and Carroll, R. J.} } @conference {Knei:Brez:Crai:gene:2010, title = {Generalized Semiparametric Regression with Covariates Measured with Error}, booktitle = {Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir}, year = {2010}, pages = {133{\textendash}154}, publisher = {Physica-Verlag Ges.m.b.H}, organization = {Physica-Verlag Ges.m.b.H}, author = {Kneib, Thomas and Brezger, Andreas and Crainiceanu, C}, editor = {Kneib, Thomas and Tutz, Gerhard} } @article {greven, title = {Longitudinal functional principal components analysis}, journal = {Electronic Journal of Statistics, PMCID: PMC3131008}, volume = {4}, year = {2010}, pages = {1022-1054}, author = {Greven, S. and Crainiceanu, C and Caffo, B and Reich, D.} } @article {pmid20227508, title = {Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer{\textquoteright}s disease risk}, journal = {Neuroimage}, volume = {51}, number = {3}, year = {2010}, month = {Jul}, pages = {1140{\textendash}1149}, author = {Caffo, B and Crainiceanu, C and Verduzco, G. and Joel, S. and Mostofsky, S and Bassett, S and Pekar, J} } @article {Luo:Crai:Loui:Chat:baye:2009, title = {Bayesian Inference for Smoking Cessation with a Latent Cure State}, journal = {Biometrics}, volume = {65}, number = {3}, year = {2009}, pages = {970{\textendash}978}, keywords = {cure model, MCMC, Mixed-effects model, prediction, Recurrent events, Smoking cessation}, author = {Luo, Sheng and Crainiceanu, C and Louis, Thomas A. and Chatterjee, Nilanjan} } @article {Crai:comm:2009, title = {Comment on {\textquoteright}{\textquoteright}Bayesian Generalized Method of Moments{\textquoteright}{\textquoteright} (Pkg: P191-222)}, journal = {Bayesian Analysis}, volume = {4}, number = {2}, year = {2009}, pages = {213{\textendash}216}, author = {Crainiceanu, C} } @article {Chen:Crai:cox:2009, title = {Cox Models With Smooth Functional Effect of Covariates Measured With Error}, journal = {Journal of the American Statistical Association}, volume = {104}, number = {487}, year = {2009}, pages = {1144{\textendash}1154}, keywords = {Measurement error, Smoothing, Survival analysis}, author = {Cheng, Yu-Jen and Crainiceanu, C} } @article {pmid20625442, title = {Generalized Multilevel Functional Regression}, journal = {J Am Stat Assoc}, volume = {104}, number = {488}, year = {2009}, month = {Dec}, pages = {1550{\textendash}1561}, author = {Crainiceanu, C and Staicu, A. M. and Di, C.Z.} } @article {pmid20049214, title = {Mercury induces an unopposed inflammatory response in human peripheral blood mononuclear cells in vitro}, journal = {Environ. Health Perspect.}, volume = {117}, number = {12}, year = {2009}, month = {Dec}, pages = {1932{\textendash}1938}, author = {Gardner, R. M. and Nyland, J. F. and Evans, S. L. and Wang, S. B. and Doyle, K. M. and Crainiceanu, C and Silbergeld, E. K.} } @article {di2009multilevel, title = {Multilevel functional principal component analysis}, journal = {Annals of Applied Statistics, PMCID: PMC2835171}, volume = {3}, number = {1}, year = {2009}, pages = {458-488}, author = {Di, C and Crainiceanu, C and Caffo, B and Punjabi, N} } @article {Crai:Caff:Di:Punj:nonp:2009, title = {Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep}, journal = {Journal of the American Statistical Association}, volume = {104}, number = {486}, year = {2009}, pages = {541{\textendash}555}, keywords = {Hierarchical smoothing, Measurement error, penalized splines, Sleep}, author = {Crainiceanu, C and Caffo, B and Di, Chong-Zhi and Punjabi, Naresh M} } @article {crainiceanu2009nonparametric, title = {Nonparametric signal extraction and measurement error in the analysis of electroencephalographic activity during sleep}, journal = {Journal of the American Statistical Association, PMCID: PMC2802498}, volume = {104}, number = {486}, year = {2009}, pages = {541{\textendash}555}, publisher = {ASA}, author = {Crainiceanu, C and Caffo, B and Di, C and Punjabi, N} } @article {Caff:Swih:Crai:Laff:Punj:an:2009, title = {An Overview of Observational Sleep Research with Application to Sleep State Transitioning}, journal = {Chance}, volume = {22}, number = {1}, year = {2009}, pages = {10{\textendash}15}, author = {Caffo, B and Swihart, B and Crainiceanu, C and Laffan, A and Punjabi, Naresh} } @article {caffo2009overview, title = {An overview of observational sleep research with application to sleep stage transitioning}, journal = {Chance, PMCID: PMC2800358}, volume = {22}, number = {1}, year = {2009}, pages = {10{\textendash}15}, publisher = {Springer}, author = {Caffo, B and Swihart, B and Crainiceanu, C and Laffan, A and Punjabi, N} } @article {pmid19750109, title = {Urine arsenic concentrations and species excretion patterns in American Indian communities over a 10-year period: the Strong Heart Study}, journal = {Environ. Health Perspect.}, volume = {117}, number = {9}, year = {2009}, month = {Sep}, pages = {1428{\textendash}1433}, author = {Navas-Acien, A. and Umans, J. G. and Howard, B. V. and Goessler, W. and Francesconi, K. A. and Crainiceanu, C and Silbergeld, E. K. and Guallar, E.} } @article {Crai:Domi:adju:2008, title = {Adjustment Uncertainty in Effect Estimation}, journal = {Biometrika}, volume = {95}, number = {3}, year = {2008}, pages = {635{\textendash}651}, keywords = {Air pollution, Bayesian model averaging}, author = {Crainiceanu, C and Dominici, Francesca and Parmigiani, G.} } @article {Luo:Crai:Loui:Chat:anal:2008, title = {Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State}, journal = {Journal of the American Statistical Association}, volume = {103}, number = {483}, year = {2008}, pages = {1002{\textendash}1013}, keywords = {cure model, Mixed-effects model, Recurrent events, Smoking cessation, stochastic transition model}, author = {Luo, Sheng and Crainiceanu, C and Louis, Thomas A. and Chatterjee, Nilanjan} } @article {Crai:Digg:Rowl:biva:2008, title = {Bivariate Binomial Spatial Modeling of Loa Loa Prevalence in Tropical Africa}, journal = {Journal of the American Statistical Association}, volume = {103}, number = {481}, year = {2008}, pages = {21{\textendash}37}, keywords = {Geostatistics, low rank, thin-plate splines}, author = {Crainiceanu, C and Diggle, Peter J. and Rowlingson, Barry} } @article {pmid18197299, title = {Cadmium exposure and hypertension in the 1999-2004 National Health and Nutrition Examination Survey (NHANES)}, journal = {Environ. Health Perspect.}, volume = {116}, number = {1}, year = {2008}, month = {Jan}, pages = {51{\textendash}56}, author = {Tellez-Plaza, M. and Navas-Acien, A. and Crainiceanu, C and Guallar, E.} } @article {Caff:Crai:Deng:Hend:case:2008, title = {A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography}, journal = {Journal of the American Statistical Association}, volume = {103}, number = {484}, year = {2008}, pages = {1470{\textendash}1480}, keywords = {Curve fitting, medical imaging, Pharmacology, Smoothing, SPECT}, author = {Caffo, B and Crainiceanu, C and Deng, Lijuan and Hendrix, C} } @article {Korz:Crai:Ku:Fran:Cron:dyna:2008, title = {Dynamics of Event-related Causality in Brain Electrical Activity}, journal = {Human Brain Mapping}, volume = {29}, number = {10}, year = {2008}, pages = {1170{\textendash}1192}, keywords = {brain mapping, cortical synchronization, EEG, Language, Multivariate analysis, Neural network, neural transmission, Signal processing}, author = {Korzeniewska, A. and Crainiceanu, C and Ku{\'s}, Rafa{\l}{} and Franaszczuk, Piotr J. and Crone, Nathan E.} } @article {Kriv:Crai:Kaue:fast:2008, title = {Fast Adaptive Penalized Splines}, journal = {Journal of Computational and Graphical Statistics}, volume = {17}, number = {1}, year = {2008}, pages = {1{\textendash}20}, keywords = {function of locally varying complexity, hierarchical mixed model, Laplace approximation}, author = {Krivobokova, Tatyana and Crainiceanu, C and Kauermann, G{\"o}ran} } @article {pmid18552590, title = {Model selection and health effect estimation in environmental epidemiology}, journal = {Epidemiology}, volume = {19}, number = {4}, year = {2008}, month = {Jul}, pages = {558{\textendash}560}, author = {Dominici, F. and Wang, C. and Crainiceanu, C and Parmigiani, G.} } @article {Crai:Digg:Rowl:rejo:2008, title = {Rejoinder}, journal = {Journal of the American Statistical Association}, volume = {103}, number = {481}, year = {2008}, pages = {43{\textendash}43}, author = {Crainiceanu, C and Diggle, Peter J. and Rowlingson, Barry} } @article {Grev:Crai:Kche:Pete:rest:2008, title = {Restricted Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models}, journal = {Journal of Computational and Graphical Statistics}, volume = {17}, number = {4}, year = {2008}, pages = {870{\textendash}891}, keywords = {Nonparametric smoothing, nonregular problem, parametric bootstrap, penalized splines}, author = {Greven, S. and Crainiceanu, C and K{\"u}chenhoff, Helmut and Peters, Annette} } @article {Crai:nonp:2007, title = {Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches: Hulin Wu and Jin-Ting Zhang}, journal = {Journal of the American Statistical Association}, volume = {102}, number = {478}, year = {2007}, pages = {761{\textendash}761}, author = {Crainiceanu, C} } @article {pmid17344421, title = {Reduced kidney function as a risk factor for incident heart failure: the atherosclerosis risk in communities (ARIC) study}, journal = {J. Am. Soc. Nephrol.}, volume = {18}, number = {4}, year = {2007}, month = {Apr}, pages = {1307{\textendash}1315}, author = {Kottgen, A. and Russell, S. D. and Loehr, L. R. and Crainiceanu, C and Rosamond, W. D. and Chang, P. P. and Chambless, L. E. and Coresh, J.} } @article {pmid17646610, title = {Short-term variability in measures of glycemia and implications for the classification of diabetes}, journal = {Arch. Intern. Med.}, volume = {167}, number = {14}, year = {2007}, month = {Jul}, pages = {1545{\textendash}1551}, author = {Selvin, E. and Crainiceanu, C and Brancati, F. L. and Coresh, J.} } @article {Crai:Rupp:Carr:Josh:Good:spat:2007, title = {Spatially Adaptive Bayesian Penalized Splines with Heteroscedastic Errors}, journal = {Journal of Computational and Graphical Statistics}, volume = {16}, number = {2}, year = {2007}, pages = {265{\textendash}288}, keywords = {Heteroscedasticity, MCMC, Multivariate smoothing, Regression splines, spatially adaptive penalty, thin-plate splines, Variance functions}, author = {Crainiceanu, C and Ruppert, D. and Carroll, Raymond J. and Joshi, Adarsh and Goodner, Billy} } @article {Gime:Crai:Barb:Jeno:Morg:semi:2006, title = {Semiparametric Regression in Capture\textndashrecapture Modeling}, journal = {Biometrics}, volume = {62}, number = {3}, year = {2006}, pages = {691{\textendash}698}, keywords = {auxiliary variables, Bayesian inference, Demographic rates, Environmental covariates, penalized splines, Winbugs}, author = {Gimenez, O. and Crainiceanu, C and Barbraud, C. and Jenouvrier, S. and Morgan, B. J. T.} } @article {pmid15817517, title = {Electrocorticographic high gamma activity versus electrical cortical stimulation mapping of naming}, journal = {Brain}, volume = {128}, number = {Pt 7}, year = {2005}, month = {Jul}, pages = {1556{\textendash}1570}, author = {Sinai, A. and Bowers, C. W. and Crainiceanu, C and Boatman, D. and Gordon, B. and Lesser, R. P. and Lenz, F. A. and Crone, N.E.} } @article {Crai:Rupp:Clae:Wand:exac:2005, title = {Exact Likelihood Ratio Tests for Penalised Splines}, journal = {Biometrika}, volume = {92}, number = {1}, year = {2005}, pages = {91{\textendash}103}, keywords = {Linear mixed model, Penalised spline, Smoothing, Zero variance component}, author = {Crainiceanu, C and Ruppert, D. and Claeskens, Gerda and Wand, M. P.} } @article {Crai:Rupp:like:2004, title = {Likelihood Ratio Tests in Linear Mixed Models with One Variance Component}, journal = {Journal of the Royal Statistical Society, Series B: Statistical Methodology}, volume = {66}, number = {1}, year = {2004}, pages = {165{\textendash}185}, keywords = {Degrees of freedom, Non-regular problems, penalized splines}, author = {Crainiceanu, C and Ruppert, D.} } @article {Carr:Rupp:Crai:Tost:Kara:nonl:2004, title = {Nonlinear and Nonparametric Regression and Instrumental Variables}, journal = {Journal of the American Statistical Association}, volume = {99}, number = {467}, year = {2004}, pages = {736{\textendash}750}, keywords = {Bayesian methods, Identifiability, Measurement error, Simulation extrapolation, Splines, structural modeling}, author = {Carroll, Raymond J. and Ruppert, D. and Crainiceanu, C and Tosteson, Tor D. and Karagas, Margaret R.} } @article {Crai:Rupp:rest:2004, title = {Restricted Likelihood Ratio Tests in Nonparametric Longitudinal Models}, journal = {Statistica Sinica}, volume = {14}, number = {3}, year = {2004}, pages = {713{\textendash}729}, keywords = {Bootstrap, linear mixed models, non-standard asymptotics, penalized splines, subject-specific curves, Variance components}, author = {Crainiceanu, C and Ruppert, D.} } @article {pmid12941553, title = {Prevalence estimates for paratuberculosis adjusted for test variability using Bayesian analysis}, journal = {Prev. Vet. Med.}, volume = {60}, number = {4}, year = {2003}, month = {Sep}, pages = {281{\textendash}295}, author = {van Schaik, G. and Schukken, Y. H. and Crainiceanu, C and Muskens, J. and VanLeeuwen, J. A.} } @conference {Crai:Rupp:Sted:Behr:impr:2002, title = {Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies}, booktitle = {Case Studies in Bayesian Statistics, Volume V (Lecture Notes in Statistics Vol. 162)}, year = {2002}, pages = {207{\textendash}221}, publisher = {Springer-Verlag Inc}, organization = {Springer-Verlag Inc}, keywords = {Ecology}, author = {Crainiceanu, C and Ruppert, D. and Stedinger, Jery R. and Behr, Christopher T.} }