C. Crainiceanu

Ciprian M Crainiceanu, Jeff Goldsmith, Lei Huang, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Assessment of bias in experimentally measured diffusion tensor imaging parameters using SIMEX

Bennett A Landman, Ciprian Crainiceanu, Carolyn B Lauzon, 2013, Magnetic resonance in medicine.

Modeling Functional Data with Spatially Heterogeneous Shape Characteristics

Ana-Maria Staicu, David Ruppert, Ciprian M Crainiceanu, 2012, Biometrics.

Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements

Ciprian M Crainiceanu, Brian Caffo, Jeff Goldsmith, 2012, Journal of the Royal Statistical Society. Series C, Applied statistics.

NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES.

Yong Du, Brian Caffo, Jeff Goldsmith, 2011, The annals of applied statistics.

Penalized Functional Regression

Ciprian M Crainiceanu, Brian Caffo, Jeff Goldsmith, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Functional regression via variational Bayes.

Ciprian Crainiceanu, Jeff Goldsmith, Matt P Wand, 2011, Electronic journal of statistics.

LONGITUDINAL PENALIZED FUNCTIONAL REGRESSION

Brian S. Caffo, Ciprian M. Crainiceanu, Jeffrey D. Goldsmith, 2010 .

HIV Infection Is Associated With Variability in Ventricular Repolarization

Katherine C. Wu, M. Budoff, C. Crainiceanu, 2019, Circulation.

Adjustment uncertainty in effect estimation

Ciprian M. Crainiceanu, Giovanni Parmigiani, Francesca Dominici, 2008 .

fslr: Connecting the FSL Software with R

John Muschelli, Ciprian Crainiceanu, Martin Lindquist, 2015, R J..

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis

Daniel S. Reich, Ciprian M. Crainiceanu, Brian Caffo, 2011, NeuroImage.

Fast methods for spatially correlated multilevel functional data.

Ana-Maria Staicu, Ciprian M Crainiceanu, Raymond J Carroll, 2010, Biostatistics.

Fast covariance estimation for high-dimensional functional data

Luo Xiao, Ciprian M. Crainiceanu, David Ruppert, 2013, Stat. Comput..

Arsenic exposure, diabetes-related genes and diabetes prevalence in a general population from Spain.

C. Crainiceanu, J. Redón, F. Chaves, 2018, Environmental pollution.

Model selection and health effect estimation in environmental epidemiology.

Chi Wang, Giovanni Parmigiani, Francesca Dominici, 2008, Epidemiology.

Reduced kidney function as a risk factor for incident heart failure: the atherosclerosis risk in communities (ARIC) study.

S. Russell, C. Crainiceanu, L. Chambless, 2007, Journal of the American Society of Nephrology : JASN.

Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep

Brian S Caffo, Ciprian M Crainiceanu, Naresh M Punjabi, 2009, Journal of the American Statistical Association.

Organizing and Analyzing the Activity Data in NHANES

Vadim Zipunnikov, Ciprian Crainiceanu, Ekaterina Smirnova, 2019, Statistics in Biosciences.

Using Heart Rate and Accelerometry to Define Quantity and Intensity of Physical Activity in Older Adults

S. Studenski, L. Ferrucci, J. Fleg, 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

Epidemiology of objectively measured bedtime and chronotype in US adolescents and adults: NHANES 2003–2006

C. Crainiceanu, V. Zipunnikov, A. Spira, 2017, Chronobiology international.

An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics

Luo Xiao, Ciprian M. Crainiceanu, Jiawei Bai, 2016, PloS one.

Structured functional principal component analysis

Ciprian M Crainiceanu, Vadim Zipunnikov, Haochang Shou, 2013, Biometrics.

Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk

Ciprian M. Crainiceanu, Brian Caffo, Susan Spear Bassett, 2010, NeuroImage.

Fast Univariate Inference for Longitudinal Functional Models

Ciprian M. Crainiceanu, Ekaterina Smirnova, Andrew Leroux, 2021, J. Comput. Graph. Stat..

Multiple sclerosis patients have a diminished serologic response to vitamin D supplementation compared to healthy controls

C. Crainiceanu, P. Bhargava, E. Mowry, 2016, Multiple sclerosis.

Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis.

Shiv Saidha, Ciprian M Crainiceanu, Dzung L Pham, 2012, JAMA neurology.

Real-time Mobile Monitoring of the Dynamic Associations Among Motor Activity, Energy, Mood, and Sleep in Adults With Bipolar Disorder

Lihong Cui, Nora D. Volkow, Vadim Zipunnikov, 2019, JAMA psychiatry.

Declining exposures to lead and cadmium contribute to explaining the reduction of cardiovascular mortality in the US population, 1988-2004.

C. Crainiceanu, E. Guallar, J. Redón, 2017, International journal of epidemiology.

On statistical tests of functional connectome fingerprinting

Martin A. Lindquist, Brian S. Caffo, Susan M. Resnick, 2018, bioRxiv.

Population-wide principal component-based quantification of blood–brain-barrier dynamics in multiple sclerosis

Russell T. Shinohara, Daniel S. Reich, Ciprian M. Crainiceanu, 2011, NeuroImage.

Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis

Ana-Maria Staicu, Yingxing Li, Ciprian M. Crainiceanu, 2014 .

Cox Models With Smooth Functional Effect of Covariates Measured With Error

Ciprian M Crainiceanu, Yu-Jen Cheng, C. Crainiceanu, 2009, Journal of the American Statistical Association.

Dynamics of large-scale cortical interactions at high gamma frequencies during word production: Event related causality (ERC) analysis of human electrocorticography (ECoG)

Ciprian M. Crainiceanu, Piotr J. Franaszczuk, Nathan E. Crone, 2011, NeuroImage.

PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT

Ciprian M. Crainiceanu, John Muschelli, Elizabeth M. Sweeney, 2017, NeuroImage: Clinical.

Comparison of Accelerometry-Based Measures of Physical Activity: Retrospective Observational Data Analysis Study

J. Schrack, C. Crainiceanu, J. Muschelli, 2022, medRxiv.

Modeling populations of sleep hypnograms

C. Crainiceanu, N. Punjabi, B. Swihart, 2012 .

Habitual physical activity patterns in a nationally representative sample of U.S. adults.

C. Crainiceanu, A. Pack, B. Riegel, 2020, Translational behavioral medicine.

Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI

Martin A. Lindquist, Ciprian M. Crainiceanu, Amanda F. Mejia, 2014, NeuroImage.

Practical recommendations for population PK studies with sampling time errors

B. Caffo, C. Crainiceanu, Leena Choi, 2013, European Journal of Clinical Pharmacology.

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX

Bennett A. Landman, Ciprian M. Crainiceanu, Andrew J. Asman, 2011, MICCAI.

COX MODELS WITH NONLINEAR EFFECT OF COVARIATES MEASURED WITH ERROR: A CASE STUDY OF CHRONIC KIDNEY DISEASE INCIDENCE

D. Ruppert, C. Crainiceanu, J. Coresh, 2006 .

Variability and Misclassification of Sleep Apnea Severity Based on Multi-Night Testing.

C. Crainiceanu, N. Punjabi, R. Aurora, 2020, Chest.

Automatic car driving detection using raw accelerometry data

Ciprian M. Crainiceanu, Jaroslaw Harezlak, Jacek Urbanek, 2016, Physiological measurement.

Obstructive Sleep Apnea during REM Sleep and Cardiovascular Disease

C. Crainiceanu, D. Gottlieb, N. Punjabi, 2017, American journal of respiratory and critical care medicine.

Explicit Training to Improve Affective Prosody Recognition in Adults with Acute Right Hemisphere Stroke

Erin L. Meier, Shannon M. Sheppard, C. Crainiceanu, 2021, Brain sciences.

Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2)

M. B. Nebel, C. Crainiceanu, B. Caffo, 2013, Cognitive, Affective, & Behavioral Neuroscience.

Dynamic child growth prediction: A comparative methods approach

Ciprian M. Crainiceanu, Andrada E. Ivanescu, William Checkley, 2017 .

MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data

Mahbaneh Eshaghzadeh Torbati, D. Minhas, C. DeCarli, 2023, bioRxiv.

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat

Seong Jae Hwang, Mahbaneh Eshaghzadeh Torbati, Erin E. O’Connor, 2021, NeuroImage.

The NAIMS cooperative pilot project: Design, implementation and future directions

Nico Papinutto, Rohit Bakshi, R Todd Constable, 2018, Multiple sclerosis.

Habitual Sleep Duration and All-Cause Mortality in a General Community Sample.

C. Crainiceanu, N. Punjabi, Ji Soo Kim, 2016, Sleep.

Sleep-disordered breathing and caffeine consumption: results of a community-based study.

B. Caffo, C. Crainiceanu, N. Punjabi, 2012, Chest.

8-28-2006 Adjustment Uncertainty in Effect Estimation

C. Crainiceanu, 2018 .

Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores

C. Crainiceanu, Jonas F. Dorn, G. Bogaarts, 2021, Physiological measurement.

Visual Pathway Measures are Associated with Neuropsychological Function in Multiple Sclerosis

C. Crainiceanu, S. Saidha, P. Calabresi, 2018, Current eye research.

The Impact of Utilizing Different Optical Coherence Tomography Devices for Clinical Purposes and in Multiple Sclerosis Trials

Amy Conger, Teresa C. Frohman, Laura J. Balcer, 2011, PloS one.

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

William R. Gray Roncal, Jerry L Prince, Jacob C. Reinhold, 2020, Scientific Reports.

Obesity History and Daily Patterns of Physical Activity at Age 60–64 Years: Findings From the MRC National Survey of Health and Development

J. Schrack, C. Crainiceanu, T. Harris, 2017, The journals of gerontology. Series A, Biological sciences and medical sciences.

High-dimensional multivariate mediation with application to neuroimaging data.

Elizabeth L. Ogburn, Brian S Caffo, Martin A Lindquist, 2015, Biostatistics.

Big Data and Neuroimaging

Martin A. Lindquist, Amanda F. Mejia, Shaojie Chen, 2017, Statistics in biosciences.

APNEA-HYPOPNEA INDICES: IMPACT OF ALTERNATE FOR HYPOPNEAS Calibration Model for Apnea-Hypopnea Indices: Impact of Alternative Criteria for Hypopneas

S. Redline, C. Crainiceanu, D. Gottlieb, 2015 .

Multilevel sparse functional principal component analysis

Ciprian M Crainiceanu, Chongzhi Di, Wolfgang S Jank, 2014, Stat.

Quantifying the lifetime circadian rhythm of physical activity: a covariate-dependent functional approach.

L. Ferrucci, J. Schrack, C. Crainiceanu, 2015, Biostatistics.

Dynamic prediction in functional concurrent regression with an application to child growth

Luo Xiao, Ciprian Crainiceanu, William Checkley, 2017, Statistics in medicine.

Functional principal component model for high-dimensional brain imaging

Christos Davatzikos, Ciprian M. Crainiceanu, Brian Caffo, 2011, NeuroImage.

Wearable Devices: Current Status and Opportunities in Pain Assessment and Management

C. Crainiceanu, A. Leroux, Rachael Rzasa-Lynn, 2021, Digital Biomarkers.

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators

Martin A. Lindquist, Ciprian M. Crainiceanu, Amanda F. Mejia, 2014, NeuroImage.

Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms

Roland Langrock, Brian S Caffo, Ciprian M Crainiceanu, 2013, Statistics in medicine.

Multilevel functional principal component analysis

Brian S. Caffo, Ciprian M. Crainiceanu, Chongzhi Di, 2009 .

Variable-Domain Functional Regression for Modeling ICU Data

Ciprian M Crainiceanu, Elizabeth Colantuoni, Dale M Needham, 2014, Journal of the American Statistical Association.

A practical guide to big data.

C. Crainiceanu, A. Ivanescu, Jiawei Bai, 2018, Statistics & probability letters.

The predictive performance of objective measures of physical activity derived from accelerometry data for 5-year all-cause mortality in older adults: NHANES 2003-2006.

Jacek Urbanek, Vadim Zipunnikov, Ciprian Crainiceanu, 2019, The journals of gerontology. Series A, Biological sciences and medical sciences.

The Predictive Performance of Objective Measures of Physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in Older Adults: National Health and Nutritional Examination Survey 2003–2006

Jacek Urbanek, Ciprian Crainiceanu, Ekaterina Smirnova, 2019 .

Evidence of bias in randomized clinical trials of hepatitis C interferon therapies

Ciprian M Crainiceanu, Fabio Tinè, C. Crainiceanu, 2017, Clinical trials.

Macular Ganglion Cell and Inner Plexiform Layer Thickness Is More Strongly Associated With Visual Function in Multiple Sclerosis Than Bruch Membrane Opening-Minimum Rim Width or Peripapillary Retinal Nerve Fiber Layer Thicknesses.

C. Crainiceanu, S. Saidha, P. Calabresi, 2019, Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society.

Electronic devices and applications to track physical activity.

Ciprian M. Crainiceanu, Vadim Zipunnikov, Jennifer A Schrack, 2015, JAMA.

Multilevel functional data analysis

Brian S. Caffo, Ciprian M. Crainiceanu, Jeffrey S. Morris, 2013 .

Influence of Lung Function and Sleep-disordered Breathing on All-Cause Mortality. A Community-based Study.

S. Redline, C. Crainiceanu, J. Samet, 2016, American journal of respiratory and critical care medicine.

Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling)

Dirk Inzé, Ciprian M. Crainiceanu, Olivier Thas, 2012, BMC Bioinformatics.

Matrix decomposition for modeling lesion development processes in multiple sclerosis.

Blake Dewey, Russell T Shinohara, Ciprian Crainiceanu, 2020, Biostatistics.

3-21-2006 BIVARIATE BINOMIAL SPATIAL MODELLING LOA loa PREVALENCE IN TROPICAL AFRICA

P. Diggle, C. Crainiceanu, B. Rowlingson, 2018 .

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Ciprian Crainiceanu, Ekaterina Smirnova, Lucia Tabacu, 2020, Sensors.

Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions

Ciprian M Crainiceanu, Haochang Shou, Russell T Shinohara, 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Computational Opportunities In The Estimation Of Free-living Temporal Gait Parameters From Wearable Accelerometry Data

Ciprian M. Crainiceanu, Amy J. Bastian, Jacek Urbanek, 2020 .

Correlating subjective and objective sleepiness: revisiting the association using survival analysis.

B. Caffo, C. Crainiceanu, N. Punjabi, 2011, Sleep.

Normalization and extraction of interpretable metrics from raw accelerometry data.

Ciprian M Crainiceanu, Jiawei Bai, Vadim Zipunnikov, 2014, Biostatistics.

Statistical modeling of changes in relative sea level in Maine during the Holocene Era

N. Altman, J. Staudenmayer, C. Crainiceanu, 2013 .

Cox regression models with functional covariates for survival data

Ciprian M Crainiceanu, Elizabeth Colantuoni, Dale M Needham, 2015, Statistical modelling.

Multilevel Functional Principal Component Analysis for High-Dimensional Data

Christos Davatzikos, Brian Caffo, Vadim Zipunnikov, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

11-16-2011 LONGITUDINAL HIGH-DIMENSIONAL DATA ANALYSIS

B. Caffo, C. Crainiceanu, D. Reich, 2011 .

LONGITUDINAL HIGH-DIMENSIONAL DATA ANALYSIS

Brian S. Caffo, Daniel S. Reich, Vadim Zipunnikov, 2011 .

Estimating Energy Expenditure from Heart Rate in Older Adults: A Case for Calibration

Ciprian M. Crainiceanu, Luigi Ferrucci, Karen Bandeen-Roche, 2014, PloS one.

Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays

Ciprian M Crainiceanu, Olivier Thas, Rafael A Irizarry, 2010, Statistical applications in genetics and molecular biology.

2-3-2010 WAVELET BASED FUNCTIONAL MODELS FOR TRANSCRIPTOME ANALYSIS WITH TILING ARRAYS

R. Irizarry, C. Crainiceanu, O. Thas, 2013 .

Longitudinal scalar-on-functions regression with application to tractography data.

Ciprian Crainiceanu, Jeff Goldsmith, Jan Gertheiss, 2013, Biostatistics.

Novel metrics for growth model selection

Vadim Zipunnikov, Ciprian Crainiceanu, William Checkley, 2018, Emerging Themes in Epidemiology.

Accelerometry Data in Health Research: Challenges and Opportunities

Jiawei Bai, Vadim Zipunnikov, Jaroslaw Harezlak, 2018, Statistics in Biosciences.

Movelets: A dictionary of movement.

Ciprian M Crainiceanu, Brian Caffo, Jiawei Bai, 2012, Electronic journal of statistics.

Bootstrap Bayesian analysis with applications to gene-environment interaction

Ciprian M. Crainiceanu, Adina Crainiceanu, Kung-Yee Liang, 2009, 2009 24th International Symposium on Computer and Information Sciences.

Discussion on “Spatial prediction in the presence of positional error”

C. Crainiceanu, 2011 .

Millennial Scale Sea Level Curve Estimation

N. Altman, J. Staudenmayer, C. Crainiceanu, 2000 .

2 Bayesian Analysis for Penalized Spline Regression Using WinBUGS particular cases of Generalized Linear Mixed Models ( GLMMs

Ciprian M. Crainiceanu, David Ruppert, M. P. Wand, 2005 .

12-1-2007 Bayesian Analysis for Penalized Spline Regression Using Win BUGS

M. Wand, D. Ruppert, C. Crainiceanu, 2004 .

Fast covariance estimation for sparse functional data

Cai Li, Luo Xiao, Ciprian M. Crainiceanu, 2016, Statistics and Computing.

Mixed effect Poisson log‐linear models for clinical and epidemiological sleep hypnogram data

Brian S Caffo, Ciprian M Crainiceanu, Bruce J Swihart, 2012, Statistics in medicine.

Genome-wide association studies of 27 accelerometry-derived physical activity measurements identifies novel loci and genetic mechanisms

C. Crainiceanu, N. Chatterjee, J. Muschelli, 2021, medRxiv.

Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis.

S. A. Meyer, C. Crainiceanu, D. Reich, 2012, JAMA neurology.

Arsenic exposure, diabetes-related genes and diabetes prevalence in a general population from Spain.

C. Crainiceanu, J. Redón, F. Chaves, 2018, Environmental pollution.

Hierarchical Adaptive Regression Kernels for Regression With Functional Predictors

David Ruppert, Ciprian Crainiceanu, Dawn B Woodard, 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes

C. Crainiceanu, D. Reich, P. Reiss, 2013, NeuroImage.

Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesions

C. Crainiceanu, D. Reich, J. Muschelli, 2015, NeuroImage: Clinical.

Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data.

Luo Xiao, Ciprian M Crainiceanu, Martin A Lindquist, 2016, Biostatistics.

Relationships between Retinal Axonal and Neuronal Measures and Global Central Nervous System Pathology in Multiple Sclerosis See Editorial Comment See Page 13

C. Crainiceanu, S. Saidha, P. Calabresi, 2022 .

Estimation of Directional Coupling between Cortical Areas Using Near-infrared Spectroscopy (nirs) References and Links

A. Ziehe, S. Kiebel, C. Crainiceanu, 2022 .

Analysis of Active/Inactive Patterns in the NHANES Data using Generalized Multilevel Functional Principal Component Analysis

C. Crainiceanu, A. Leroux, Xinkai Zhou, 2023, 2311.14054.