Browse by Subject

Categorical Data Analysis

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A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Many seemingly disparate approaches for marginal modeling have been developed in recent years. We demonstrate...

Microarrays

Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays (with Lieven Clement, Kristof De Beuf, Olivier Thas, Marnik Vuylsteke, and Rafael A. Irizarry), Statistical Applications in Genetics and Molecular Biology (2012)

For a better understanding of the biology of an organism, a complete description is needed...

Epidemiology

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MODEL SELECTION AND HEALTH EFFECT ESTIMATION IN ENVIRONMENTAL EPIDEMIOLOGY (with Francesca Dominici, Chi Wang, and Giovanni Parmigiani), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

In air pollution epidemiology, improvements in statistical analysis tools can translate into significant scientific advances,...

Medical Specialties

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POPULATION-WIDE MODEL-FREE QUANTIFICATION OF BLOOD-BRAIN-BARRIER DYNAMICS IN MULTIPLE SCLEROSIS (with Russell T. Shinohara, Brian Caffo, María Inés Gaitán, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

The processes by which new white matter lesions in multiple sclerosis (MS) develop are only...

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NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES (with Jeff Goldsmith, Brian S. Caffo, Daniel Reich, Yong Du, and Craig Hendrix), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

We are concerned with the estimation of the exterior surface of tube-shaped anatomical structures. This...

Disease Modeling

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BIVARIATE BINOMIAL SPATIAL MODELLING LOA loa PREVALENCE IN TROPICAL AFRICA (with Peter J. Diggle and Barry Rowlingson), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

We present a state-of-the-art application of smoothing for dependent bivariate binomial spatial data to Loa...

Multivariate Analysis

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LIKELIHOOD BASED POPULATION INDEPENDENT COMPONENT ANALYSIS (with Ani Eloyan and Brian S. Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

Independent component analysis (ICA) is a widely used technique for blind source separation, used heavily...

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A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Many seemingly disparate approaches for marginal modeling have been developed in recent years. We demonstrate...

PDF

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...

Computation

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Bayesian Analysis for Penalized Spline Regression Using Win BUGS (with David Ruppert and M.P. Wand), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the...

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Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Capture-recapture models were developed to estimate survival using data arising from marking and monitoring wild...

PDF

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...

Longitudinal Data Analysis and Time Series

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A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Many seemingly disparate approaches for marginal modeling have been developed in recent years. We demonstrate...

PDF

Modeling multilevel sleep transitional data via Poisson log-linear multilevel models (with Bruce J. Swihart, Brian Caffo, and Naresh M. Punjabi), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

This paper proposes Poisson log-linear multilevel models to investigate population variability in sleep state transition...

General Biostatistics

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LONGITUDINAL ANALYSIS OF SPATIOTEMPORAL PROCESSES: A CASE STUDY OF DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING IN MULTIPLE SCLEROSIS (with Russell T. Shinohara, Brian S. Caffo, and Daniel S. Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

Multiple sclerosis (MS) is an immune-mediated disease in which inflammatory lesions form in the brain....

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MOVELETS: A DICTIONARY OF MOVEMENT (with Jiawei Bai, Jeff Goldsmith, Brian Caffo, and Thomas A. Glass), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

Recent technological advances provide researchers a way of gathering real-time information on an individual’s movement...

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STATISTICAL INFERENCE ON THE DIFFERENCE IN THE MEANS OF TWO CORRELATED FUNCTIONAL PROCESSES: AN APPLICATION TO SLEEP EEG POWER SPECTRA (with Ana-Maria Staicu, Shubankar Ray, and Naresh Punjabi), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

Nonparametric inference methods on the mean difference between two correlated functional processes are proposed. We...

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MODELING FUNCTIONAL DATA WITH SPATIALLY HETEROGENEOUS SHAPE CHARACTERISTICS (with Ana-Maria Staicu, Daniel S. Reich, and David Ruppert), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

We propose a novel class of models for functional data exhibiting skewness or other shape...

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POPULATION VALUE DECOMPOSITION, A FRAMEWORK FOR THE ANALYSIS OF IMAGE POPULATIONS (with Brian S. Caffo, Sheng Luo, and Vadim Zipunnikov), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Images, often stored in multidimensional arrays are fast becoming ubiquitous in medical and public health...

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MULTILEVEL SPARSE FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS (with Chong-Zhi Di), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

The basic observational unit in this paper is a function. Data are assumed to have...

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Two-stage Decompositions for the Analysis of Functional Connectivity for fMRI With Application to Alzheimer's Disease Risk (with Brian S. Caffo, Guillermo Verduzco, Stewart H. Mostofsky, Susan Spear-Bassett, and James J. Pekar), Collection of Biostatistics Research Archive (2009)

Functional connectivity is the study of correlations in measured neurophysiological signals. Altered functional connectivity has...

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BAYESIAN FUNCTIONAL DATA ANALYSIS USING WinBUGS (with A. Jeffrey Goldsmith), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

We provide user friendly software for Bayesian analysis of Functional Data Models using WinBUGS 1.4....

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Multilevel Functional Principal Component Analysis (with Chong-Zhi Di, Brian S. Caffo, and Naresh M. Punjabi), Annals of Applied Statistics (2009)

The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its...

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Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep (with Brian S. Caffo, Chong-Zhi Di, and Naresh M. Punjabi), Journal of the American Statistical Association (2009)

We introduce methods for signal and associated variability estimation based on hierarchical nonparametric smoothing with...

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BAYESIAN INFERENCE FOR SMOKING CESSATION WITH A LATENT CURE STATE (with Sheng Luo, Thomas A. Louis, and Nilanjan Chatterjee), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

We present a Bayesian approach to modeling dynamic smoking addiction behavior processes when cure is...

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A CASE STUDY IN PHARMACOLOGIC IMAGING USING PRINCIPAL CURVES IN SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (with Brian S. Caffo, Lijuan Deng, and Craig W. Hendrix), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

In this manuscript we are concerned with functional imaging of the colon to assess the...

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FAST ADAPTIVE PENALIZED SPLINES (with Tatyana Krivobokova and Goran Kauermann), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

This paper proposes a numerically simple routine for locally adaptive smoothing. The locally heterogeneous regression...

Statistical Models

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Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data (with Bruce J. Swihart; Brian S. Caffo PhD; and Naresh M. Punjabi PhD, MD), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Bayesian Poisson log-linear multilevel models scalable to epidemiological studies are proposed to investigate population variability...

PDF

A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Many seemingly disparate approaches for marginal modeling have been developed in recent years. We demonstrate...

PDF

Multilevel Functional Principal Component Analysis (with Chong-Zhi Di, Brian S. Caffo, and Naresh M. Punjabi), Annals of Applied Statistics (2009)

The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its...

PDF

Bayesian Analysis for Penalized Spline Regression Using Win BUGS (with David Ruppert and M.P. Wand), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the...

PDF

COX MODELS WITH NONLINEAR EFFECT OF COVARIATES MEASURED WITH ERROR: A CASE STUDY OF CHRONIC KIDNEY DISEASE INCIDENCE (with David Ruppert and Josef Coresh), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

We propose, develop and implement the simulation extrapolation (SIMEX) methodology for Cox regression models when...

PDF

Adjustment Uncertainty in Effect Estimation (with Francesca Dominici and Giovanni Parmigiani), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

The selection of confounders and their functional relationship with the out- come affects exposure effect...

PDF

Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Capture-recapture models were developed to estimate survival using data arising from marking and monitoring wild...

PDF

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

An increasingly popular tool for nonparametric smoothing are penalized splines (P-splines) which use low-rank spline...

Statistical Theory and Methods

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LONGITUDINAL HIGH-DIMENSIONAL DATA ANALYSIS (with Vadim Zipunnikov, Sonja Greven, Brian Caffo, and Daniel S. Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

We develop a flexible framework for modeling high-dimensional functional and imaging data observed longitudinally. The...

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CORRECTED CONFIDENCE BANDS FOR FUNCTIONAL DATA USING PRINCIPAL COMPONENTS (with Jeff Goldsmith and Sonja Greven), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

Functional principal components (FPC) analysis is widely used to decompose and express functional observations. Curve...

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FUNCTIONAL PRINCIPAL COMPONENTS MODEL FOR HIGH-DIMENSIONAL BRAIN IMAGING (with Vadim Zipunnikov, Brian S. Caffo, David M. Yousem, Christos Davatzikos, and Brian S. Schwartz), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

We establish a fundamental equivalence between singular value decomposition (SVD) and functional principal components analysis...

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MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS FOR HIGH-DIMENSIONAL DATA (with Vadim Zipunnikov, Brian Caffo, David M. Yousem, Christos Davatzikos, and Brian S. Schwartz), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

We propose fast and scalable statistical methods for the analysis of hundreds or thousands of...

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LONGITUDINAL PENALIZED FUNCTIONAL REGRESSION (with Jeff Goldsmith, Brian Caffo, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

We propose a new regression model and inferential tools for the case when both the...

PDF

PENALIZED FUNCTIONAL REGRESSION (with Jeff Goldsmith, Jennifer Feder, Brian Caffo, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

We develop fast fitting methods for generalized functional linear models. An undersmooth of the functional...

PDF

Generalized Multilevel Functional Regression (with Ana-Maria Staicu and Chong-Zhi Di), Journal of the American Statistical Association (2009)

We introduce Generalized Multilevel Functional Linear Models (GMFLMs), a novel statistical framework for regression models...

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GENERALIZED MULTILEVEL FUNCTIONAL REGRESSION (with Ana-Maria Staicu and Chongzhi Di), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

We introduce Generalized Multilevel Functional Linear Models (GMFLM), a novel statistical framework motivated by and...

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A BAYESIAN APPROACH TO EFFECT ESTIMATION ACCOUNTING FOR ADJUSTMENT UNCERTAINTY (with Chi Wang, Giovanni Parmigiani, and Francesca Dominici), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

Adjustment for confounding factors is a common goal in the analysis of both observational and...

PDF

Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Capture-recapture models were developed to estimate survival using data arising from marking and monitoring wild...

Computational Biology/Bioinformatics

Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays (with Lieven Clement, Kristof De Beuf, Olivier Thas, Marnik Vuylsteke, and Rafael A. Irizarry), Statistical Applications in Genetics and Molecular Biology (2012)

For a better understanding of the biology of an organism, a complete description is needed...

PDF

WAVELET BASED FUNCTIONAL MODELS FOR TRANSCRIPTOME ANALYSIS WITH TILING ARRAYS (with Lieven Clement, Kristof DeBeuf, Olivier Thas, Marnik Vuylsteke, and Rafael Irizarry), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

For a better understanding of the biology of an organism a complete description is needed...

SelectedWorks of Ciprian M. Crainiceanu

Ciprian M. Crainiceanu

Johns Hopkins Bloomberg School of Public Health

Links

Browse by Subject

Categorical Data Analysis

A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Microarrays

Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays (with Lieven Clement, Kristof De Beuf, Olivier Thas, Marnik Vuylsteke, and Rafael A. Irizarry), Statistical Applications in Genetics and Molecular Biology (2012)

Epidemiology

MODEL SELECTION AND HEALTH EFFECT ESTIMATION IN ENVIRONMENTAL EPIDEMIOLOGY (with Francesca Dominici, Chi Wang, and Giovanni Parmigiani), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

Medical Specialties

POPULATION-WIDE MODEL-FREE QUANTIFICATION OF BLOOD-BRAIN-BARRIER DYNAMICS IN MULTIPLE SCLEROSIS (with Russell T. Shinohara, Brian Caffo, María Inés Gaitán, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES (with Jeff Goldsmith, Brian S. Caffo, Daniel Reich, Yong Du, and Craig Hendrix), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

Disease Modeling

BIVARIATE BINOMIAL SPATIAL MODELLING LOA loa PREVALENCE IN TROPICAL AFRICA (with Peter J. Diggle and Barry Rowlingson), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

Multivariate Analysis

LIKELIHOOD BASED POPULATION INDEPENDENT COMPONENT ANALYSIS (with Ani Eloyan and Brian S. Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Computation

Bayesian Analysis for Penalized Spline Regression Using Win BUGS (with David Ruppert and M.P. Wand), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Longitudinal Data Analysis and Time Series

A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Modeling multilevel sleep transitional data via Poisson log-linear multilevel models (with Bruce J. Swihart, Brian Caffo, and Naresh M. Punjabi), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

General Biostatistics

LONGITUDINAL ANALYSIS OF SPATIOTEMPORAL PROCESSES: A CASE STUDY OF DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING IN MULTIPLE SCLEROSIS (with Russell T. Shinohara, Brian S. Caffo, and Daniel S. Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

MOVELETS: A DICTIONARY OF MOVEMENT (with Jiawei Bai, Jeff Goldsmith, Brian Caffo, and Thomas A. Glass), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

STATISTICAL INFERENCE ON THE DIFFERENCE IN THE MEANS OF TWO CORRELATED FUNCTIONAL PROCESSES: AN APPLICATION TO SLEEP EEG POWER SPECTRA (with Ana-Maria Staicu, Shubankar Ray, and Naresh Punjabi), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

MODELING FUNCTIONAL DATA WITH SPATIALLY HETEROGENEOUS SHAPE CHARACTERISTICS (with Ana-Maria Staicu, Daniel S. Reich, and David Ruppert), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

POPULATION VALUE DECOMPOSITION, A FRAMEWORK FOR THE ANALYSIS OF IMAGE POPULATIONS (with Brian S. Caffo, Sheng Luo, and Vadim Zipunnikov), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

MULTILEVEL SPARSE FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS (with Chong-Zhi Di), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Two-stage Decompositions for the Analysis of Functional Connectivity for fMRI With Application to Alzheimer's Disease Risk (with Brian S. Caffo, Guillermo Verduzco, Stewart H. Mostofsky, Susan Spear-Bassett, and James J. Pekar), Collection of Biostatistics Research Archive (2009)

BAYESIAN FUNCTIONAL DATA ANALYSIS USING WinBUGS (with A. Jeffrey Goldsmith), Johns Hopkins University, Dept. of Biostatistics Working Papers (2009)

Multilevel Functional Principal Component Analysis (with Chong-Zhi Di, Brian S. Caffo, and Naresh M. Punjabi), Annals of Applied Statistics (2009)

Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep (with Brian S. Caffo, Chong-Zhi Di, and Naresh M. Punjabi), Journal of the American Statistical Association (2009)

BAYESIAN INFERENCE FOR SMOKING CESSATION WITH A LATENT CURE STATE (with Sheng Luo, Thomas A. Louis, and Nilanjan Chatterjee), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

A CASE STUDY IN PHARMACOLOGIC IMAGING USING PRINCIPAL CURVES IN SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (with Brian S. Caffo, Lijuan Deng, and Craig W. Hendrix), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

FAST ADAPTIVE PENALIZED SPLINES (with Tatyana Krivobokova and Goran Kauermann), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

Statistical Models

Mixed effect Poisson log-linear models for clinical and epidemiological sleep hypnogram data (with Bruce J. Swihart; Brian S. Caffo PhD; and Naresh M. Punjabi PhD, MD), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

A unified approach to modeling multivariate binary data using copulas over partitions (with Bruce J. Swihart and Brian Caffo), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Multilevel Functional Principal Component Analysis (with Chong-Zhi Di, Brian S. Caffo, and Naresh M. Punjabi), Annals of Applied Statistics (2009)

Bayesian Analysis for Penalized Spline Regression Using Win BUGS (with David Ruppert and M.P. Wand), Johns Hopkins University, Dept. of Biostatistics Working Papers (2007)

COX MODELS WITH NONLINEAR EFFECT OF COVARIATES MEASURED WITH ERROR: A CASE STUDY OF CHRONIC KIDNEY DISEASE INCIDENCE (with David Ruppert and Josef Coresh), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

Adjustment Uncertainty in Effect Estimation (with Francesca Dominici and Giovanni Parmigiani), Johns Hopkins University, Dept. of Biostatistics Working Papers (2006)

Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors (with David Ruppert and Raymond J. Carroll), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Statistical Theory and Methods

LONGITUDINAL HIGH-DIMENSIONAL DATA ANALYSIS (with Vadim Zipunnikov, Sonja Greven, Brian Caffo, and Daniel S. Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

CORRECTED CONFIDENCE BANDS FOR FUNCTIONAL DATA USING PRINCIPAL COMPONENTS (with Jeff Goldsmith and Sonja Greven), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

FUNCTIONAL PRINCIPAL COMPONENTS MODEL FOR HIGH-DIMENSIONAL BRAIN IMAGING (with Vadim Zipunnikov, Brian S. Caffo, David M. Yousem, Christos Davatzikos, and Brian S. Schwartz), Johns Hopkins University, Dept. of Biostatistics Working Papers (2011)

MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS FOR HIGH-DIMENSIONAL DATA (with Vadim Zipunnikov, Brian Caffo, David M. Yousem, Christos Davatzikos, and Brian S. Schwartz), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

LONGITUDINAL PENALIZED FUNCTIONAL REGRESSION (with Jeff Goldsmith, Brian Caffo, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

PENALIZED FUNCTIONAL REGRESSION (with Jeff Goldsmith, Jennifer Feder, Brian Caffo, and Daniel Reich), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)

Generalized Multilevel Functional Regression (with Ana-Maria Staicu and Chong-Zhi Di), Journal of the American Statistical Association (2009)

GENERALIZED MULTILEVEL FUNCTIONAL REGRESSION (with Ana-Maria Staicu and Chongzhi Di), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

A BAYESIAN APPROACH TO EFFECT ESTIMATION ACCOUNTING FOR ADJUSTMENT UNCERTAINTY (with Chi Wang, Giovanni Parmigiani, and Francesca Dominici), Johns Hopkins University, Dept. of Biostatistics Working Papers (2008)

Semiparametric Regression in Capture-Recapture Modelling (with O. Gimenez, C. Barbraud, S. Jenouvrier, and B.T. Morgan), Johns Hopkins University, Dept. of Biostatistics Working Papers (2004)

Computational Biology/Bioinformatics

Fast Wavelet Based Functional Models for Transcriptome Analysis with Tiling Arrays (with Lieven Clement, Kristof De Beuf, Olivier Thas, Marnik Vuylsteke, and Rafael A. Irizarry), Statistical Applications in Genetics and Molecular Biology (2012)

WAVELET BASED FUNCTIONAL MODELS FOR TRANSCRIPTOME ANALYSIS WITH TILING ARRAYS (with Lieven Clement, Kristof DeBeuf, Olivier Thas, Marnik Vuylsteke, and Rafael Irizarry), Johns Hopkins University, Dept. of Biostatistics Working Papers (2010)