Debashis Ghosh

Debashis Ghosh, Shitala Prasad, Sateesh Kumar Peddoju, 2014, 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies.

Energy efficient mobile vision system for plant leaf disease identification

Debashis Ghosh, Shitala Prasad, Sateesh Kumar Peddoju, 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

EMPIRICAL BAYES METHODS FOR ESTIMATION AND CONFIDENCE INTERVALS IN HIGH-DIMENSIONAL PROBLEMS

Debashis Ghosh, D. Ghosh, 2009 .

Mixture modelling of gene expression data from microarray experiments

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2002, Bioinform..

Watershed Segmentation for Medical Ultrasound Images

Bhabesh Deka, Debashis Ghosh, B. Deka, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Radtools: R utilities for convenient extraction of medical image metadata

Debashis Ghosh, Pamela H Russell, 2018, F1000Research.

A causal framework for surrogate endpoints with semi-competing risks data.

Debashis Ghosh, D. Ghosh, 2012, Statistics & probability letters.

Kernel machine tests of association between brain networks and phenotypes

Debashis Ghosh, Jason R. Tregellas, Alexandria M. Jensen, 2018, bioRxiv.

Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications

Debashis Ghosh, Sharon M. Lutz, Annie Thwing, 2017, BMC Bioinformatics.

Software for Assumption Weighting for Meta-Analysis of Genomic Data

Debashis Ghosh, Yihan Li, 2011 .

Identification of differentially expressed spatial clusters using humoral response microarray data

Debashis Ghosh, Jincao Wu, Tasneem H. Patwa, 2009, Comput. Stat. Data Anal..

Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images

Lin Yang, Debashis Ghosh, Toby C. Cornish, 2019, IEEE Transactions on Biomedical Engineering.

Active interference cancellation based optimal power loading for OFDM cognitive radio

Debashis Ghosh, Manoranjan Rai Bharti, 2017, 2017 Twenty-third National Conference on Communications (NCC).

A Double-Layered Mixture Model for the Joint Analysis of DNA Copy Number and Gene Expression Data

Hyungwon Choi, Debashis Ghosh, Zhaohui S. Qin, 2010, J. Comput. Biol..

Hvac-modul mit einer offenen architektur

Debashis Ghosh, Prasad Shripad Kadle, Mingyu Wang, 2016 .

Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data

Debashis Ghosh, Zhaohui S. Qin, Z. Qin, 2010, Genes.

Title is TBD

Debashis Ghosh, Debashis Ghosh, D. Ghosh, 2013 .

An efficient low vision plant leaf shape identification system for smart phones

Debashis Ghosh, Shitala Prasad, Sateesh Kumar Peddoju, 2017, Multimedia Tools and Applications.

Hyungwon Choi, Debashis Ghosh, Alexey I. Nesvizhskii, 2013, Bioinform..

Peptide length-based prediction of peptide-MHC class II binding

Debashis Ghosh, Denise E. Kirschner, Jennifer J. Linderman, 2006, Bioinform..

DLMM software page

Hyungwon Choi, Debashis Ghosh, D. Ghosh, 2010 .

Integrative set enrichment testing for multiple omics platforms

Debashis Ghosh, Jeremy M. G. Taylor, Laila M. Poisson, 2011, BMC Bioinformatics.

Efficient Load Balancing Algorithm Using Complete Graph

Debashis Ghosh, Satya Bagchi, Lakshmi Kanta Dey, 2011 .

Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation

Farnoush Banaei-Kashani, Debashis Ghosh, Lucas Marzec, 2018, PloS one.

Software to accompany "A kernel machine approach for differential expression analysis of mass spectrometry-based metabolomics data"

Debashis Ghosh, 2014 .

A novel method for straightening curved text-lines in stylistic documents

Debashis Ghosh, Ankush Mittal, Brij Mohan Singh, 2014, EURASIP J. Image Video Process..

Finding cancer subtypes in microarray data using random projections

Debashis Ghosh, D. Ghosh, 2006, Neurocomputing.

Rejoinder for “Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”

Debashis Ghosh, Daniel J Sargent, Jeremy M G Taylor, 2012, Biometrics.

Meta-analysis based on weighted ordered P-values for genomic data with heterogeneity

Debashis Ghosh, Yihan Li, D. Ghosh, 2014, BMC Bioinformatics.

Modeling intra‐tumor protein expression heterogeneity in tissue microarray experiments

Debashis Ghosh, Jeremy M G Taylor, Ronglai Shen, 2008, Statistics in medicine.

Adaptive binarization of severely degraded and non-uniformly illuminated documents

Rahul Sharma, Debashis Ghosh, Ankush Mittal, 2014, International Journal on Document Analysis and Recognition (IJDAR).

On the use of kernel machines for Mendelian randomization

Debashis Ghosh, Weiming Zhang, D. Ghosh, 2017, Quantitative Biology.

MRHMMs: Multivariate Regression Hidden Markov Models and the variantS

Yu Zhang, Debashis Ghosh, Ross C. Hardison, 2014, Bioinform..

Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data

Hyungwon Choi, Debashis Ghosh, Alexey I. Nesvizhskii, 2009, Bioinform..

Mixture models for assessing differential expression in complex tissues using microarray data

Debashis Ghosh, D. Ghosh, 2004, Bioinform..

An analytic approach for generation of artificial hand-printed character database from given generative models

Debashis Ghosh, A. P. Shivaprasad, 1999, Pattern Recognit..

Multiple comparison procedures for neuroimaging genomewide association studies.

Thomas E. Nichols, Debashis Ghosh, Thomas E Nichols, 2014, Biostatistics.

A FUZZY APPROACH TO PERSON fIDENTIFICATION USING GAIT

Debashis Ghosh, Anshul Jain, Tulika Dube, 2006 .

Spectrum Sensing for Cognitive Radios Based on Space-Time FRESH Filtering

Debashis Ghosh, Ribhu Chopra, D. K. Mehra, 2014, IEEE Transactions on Wireless Communications.

On Assessing Surrogacy in a Single Trial Setting Using a Semicompeting Risks Paradigm

Debashis Ghosh, D. Ghosh, 2009, Biometrics.

Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference

Debashis Ghosh, 2010, Lifetime data analysis.

Radtools: R utilities for smooth navigation of medical image data

Debashis Ghosh, Pamela Russell, 2018 .

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models

Dawei Liu, Xihong Lin, Debashis Ghosh, 2008, BMC Bioinformatics.

Software engineering principles to improve quality and performance of R software

Debashis Ghosh, Seth Russell, Tellen D. Bennett, 2019, PeerJ Comput. Sci..

A mass-action-based model for gene expression regulation in dynamic systems

Hyungwon Choi, Debashis Ghosh, Christine Vogel, 2015 .

Eigengene-based linear discriminant model for tumor classification using gene expression microarray data

Debashis Ghosh, Ronglai Shen, Arul M. Chinnaiyan, 2006, Bioinform..

Kernel machine tests of association between brain networks and phenotypes

Fuyong Xing, Debashis Ghosh, Jason R Tregellas, 2019, PloS one.

A Latent Variable Approach for Integrative Clustering of Multiple Genomic Data Types

Debashis Ghosh, George C. Tseng, Ronglai Shen, 2015 .

Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model

Debashis Ghosh, Ronglai Shen, Jeremy M. G. Taylor, 2008, Bioinform..

Combining multiple models with survival data: the PHASE algorithm

Debashis Ghosh, Zheng Yuan, 2010, BIOINFORMATICS 2010.

Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data

Xiang Zhan, Debashis Ghosh, Andrew D. Patterson, 2015, BMC Bioinformatics.

Kung Faux Pandas Simplifying privacy protection.

Debashis Ghosh, James King, Seth Russell, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments

Hyungwon Choi, Debashis Ghosh, Ronglai Shen, 2007, BMC Bioinformatics.

The classification of self-orthogonal codes of length 42

Debashis Ghosh, Joydeb Pal, Lakshmi Kanta Dey, 2018, Discret. Math. Algorithms Appl..

A new upper bound on the parameters of quasi-symmetric designs

Debashis Ghosh, Lakshmi Kanta Dey, D. Ghosh, 2013, Inf. Process. Lett..

Multi-resolution mobile vision system for plant leaf disease diagnosis

Debashis Ghosh, Shitala Prasad, Sateesh Kumar Peddoju, 2016, Signal Image Video Process..

Performance evaluation of FRESH filter based spectrum sensing for cyclostationary signals

Debashis Ghosh, Ribhu Chopra, D. K. Mehra, 2016, Phys. Commun..

Weighted Estimation of the Accelerated Failure Time Model in the Presence of Dependent Censoring

Youngjoo Cho, Debashis Ghosh, D. Ghosh, 2015, PloS one.

Genomic outlier detection in high-throughput data analysis.

Debashis Ghosh, D. Ghosh, 2013, Methods in molecular biology.

Accuracy of the Epic Sepsis Prediction Model in a Regional Health System pdf

Debashis Ghosh, James King, Lisa Schilling, 2019, AMIA.

Classification and Selection of Biomarkers in Genomic Data Using LASSO

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2005, Journal of biomedicine & biotechnology.

Assumption weighting for incorporating heterogeneity into meta-analysis of genomic data

Debashis Ghosh, Yihan Li, D. Ghosh, 2012, Bioinform..

Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data

Wei Chen, Debashis Ghosh, Kerby Shedden, 2005, BMC Bioinformatics.

COPA - cancer outlier profile analysis

Debashis Ghosh, James W. MacDonald, D. Ghosh, 2006, Bioinform..

A chemokine gene expression signature derived from meta-analysis predicts the pathogenicity of viral respiratory infections

Debashis Ghosh, Michael G. Katze, Nicolas Tchitchek, 2011, BMC Systems Biology.

Discrete Nonparametric Algorithms for Outlier Detection with Genomic Data

Debashis Ghosh, D. Ghosh, 2010, Journal of biopharmaceutical statistics.

A Simulation Based Dynamic Evaluation Framework for System-wide Algorithmic Fairness pdf

Debashis Ghosh, Efrén Cruz Cortés, D. Ghosh, 2019, ArXiv.

Links between analysis of surrogate endpoints and endogeneity

Debashis Ghosh, Michael R Elliott, Jeremy M G Taylor, 2010, Statistics in medicine.

A Bayesian method for finding interactions in genomic studies

Debashis Ghosh, Wei Chen, Trivellore E. Raghuanthan, 2004 .

Computationally Tractable Multivariate HMM in Genome-Wide Mapping Studies.

Hyungwon Choi, Debashis Ghosh, Zhaohui Qin, 2017, Methods in molecular biology.

A Modified Risk Set Approach to Biomarker Evaluation Studies

Debashis Ghosh, 2016, Statistics in biosciences.

A two-step hierarchical hypothesis set testing framework, with applications to gene expression data on ordered categories

Debashis Ghosh, Yihan Li, D. Ghosh, 2014, BMC Bioinformatics.

Joint Variable Selection and Classification with Immunohistochemical Data

Debashis Ghosh, Ratna Chakrabarti, 2009, Biomarker insights.

Testing the disjunction hypothesis using Voronoi diagrams with applications to genetics

Debashis Ghosh, Daisy Phillips, D. Ghosh, 2013, 1312.5782.

An adaptive plant leaf mobile informatics using RSSC

Debashis Ghosh, Shitala Prasad, Sateesh Kumar Peddoju, 2017, Multimedia Tools and Applications.

Advances in Statistical Bioinformatics: Functional Enrichment Testing: A Survey of Statistical Methods

Debashis Ghosh, Laila M. Poisson, D. Ghosh, 2013 .

A false‐discovery‐rate‐based loss framework for selection of interactions

Debashis Ghosh, Daniel J Sargent, Trivellore E Raghunathan, 2008, Statistics in medicine.

Edge Detection via Edge-Strength Estimation Using Fuzzy Reasoning and Optimal Threshold Selection Using Particle Swarm Optimization

Debashis Ghosh, Ajay Khunteta, A. Khunteta, 2014, Adv. Fuzzy Syst..

TCIApathfinder: An R Client for the Cancer Imaging Archive REST API.

Debashis Ghosh, Kelly Fountain, Dulcy Wolverton, 2018, Cancer research.

Penalized regression procedures for variable selection in the potential outcomes framework

Debashis Ghosh, Yeying Zhu, Donna L Coffman, 2015, Statistics in medicine.

Cluster stability scores for microarray data in cancer studies

Debashis Ghosh, Mark Smolkin, D. Ghosh, 2003, BMC Bioinformatics.

Reproducibility of mass spectrometry based metabolomics data

Katerina Kechris, Debashis Ghosh, Tusharkanti Ghosh, 2021, BMC Bioinform..

Transporting experimental results with entropy balancing.

Debashis Ghosh, Sridharan Raghavan, Kevin P Josey, 2021, Statistics in medicine.

On clustering for cell-phenotyping in multiplex immunohistochemistry (mIHC) and multiplexed ion beam imaging (MIBI) data

Debashis Ghosh, Souvik Seal, Julia Wrobel, 2021, BMC research notes.

marr: Maximum Rank Reproducibility

Katerina Kechris, Debashis Ghosh, Tusharkanti Ghosh, 2021 .

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

Debashis Ghosh, 2021 .

Covariate adjustment via propensity scores for recurrent events in the presence of dependent censoring

Youngjoo Cho, Debashis Ghosh, D. Ghosh, 2019, Communications in statistics: theory and methods.

Risk Factors for Mortality Among Patients With Diabetes

Debashis Ghosh, Carol M. Mangione, Paula M. Lantz, 2007, Diabetes Care.

EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells

Debashis Ghosh, Ronglai Shen, Daniel F. Hayes, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Correcting systematic inflation in genetic association tests that consider interaction effects: application to a genome-wide association study of posttraumatic stress disorder.

Debashis Ghosh, Michael P Epstein, Lynn M Almli, 2014, JAMA psychiatry.

Network Integration of Genetically Regulated Gene Expression to Study Complex Diseases

Debashis Ghosh, George C. Tseng, Xianghong Jasmine Zhou, 2015 .

Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data

Debashis Ghosh, Ronglai Shen, Arul M Chinnaiyan, 2004, BMC Genomics.

Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation

Fuyong Xing, Debashis Ghosh, Premanand Tiwari, 2020, JAMA network open.

Statistical Aspects of the Design and Analysis of Clinical Trials

Debashis Ghosh, D. Ghosh, 2002 .

Epidermal growth factor receptor (ErbB1) expression in prostate cancer progression: Correlation with androgen independence

Debashis Ghosh, James T. Elder, D. Ghosh, 2006, The Prostate.

"Omics" data and levels of evidence for biomarker discovery.

Debashis Ghosh, Laila M Poisson, D. Ghosh, 2009, Genomics.

Pathway analysis reveals functional convergence of gene expression profiles in breast cancer

Debashis Ghosh, Ronglai Shen, Arul M Chinnaiyan, 2008 .

Feature selection and molecular classification of cancer using genetic programming.

Debashis Ghosh, Arpit A. Almal, William P. Worzel, 2007, Neoplasia.

Links Between the Sequence Kernel Association and the Kernel-Based Adaptive Cluster Tests

Debashis Ghosh, Michael P. Epstein, Tasha E. Fingerlin, 2017 .

Semiparametric inferences for association with semi‐competing risks data

Debashis Ghosh, D. Ghosh, 2006, Statistics in medicine.

alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer.

Debashis Ghosh, Arul M Chinnaiyan, Martin G Sanda, 2002, JAMA.

Semiparametric Inference for Surrogate Endpoints with Bivariate Censored Data

Debashis Ghosh, D. Ghosh, 2008, Biometrics.

Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies

Debashis Ghosh, Wen-Yu Hua, D. Ghosh, 2014, 1402.2679.

Unsupervised Outlier Profile Analysis

Debashis Ghosh, D. Ghosh, Song Li, 2014, Cancer informatics.

Autoantibody signatures in prostate cancer.

Debashis Ghosh, Ronglai Shen, Arul M Chinnaiyan, 2005, The New England journal of medicine.

Impact of diabetes on cognitive function among older Latinos: a population-based cohort study.

Debashis Ghosh, D. Ghosh, W. Herman, 2003, Journal of clinical epidemiology.

Humoral Immune Response to α-Methylacyl-CoA Racemase and Prostate Cancer

Debashis Ghosh, Mark A. Rubin, Arul M. Chinnaiyan, 2004 .

Semiparametric analysis of recurrent events data in the presence of dependent censoring.

Debashis Ghosh, D Y Lin, 2003, Biometrics.

Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2003, Functional & Integrative Genomics.

A GENERAL DECISION THEORETIC FORMULATION OF PROCEDURES CONTROLLING FDR AND FNR FROM A BAYESIAN PERSPECTIVE

Debashis Ghosh, Sanat K. Sarkar, Wyeth Pharmaceuticals, 2008 .

Reducing Visceral Leishmaniasis by Insecticide Impregnation of Bed-Nets, Bangladesh

Debashis Ghosh, D. Ghosh, G. Matlashewski, 2013, Emerging infectious diseases.

A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments

Debashis Ghosh, Yeying Zhu, Donna L Coffman, 2015, Journal of causal inference.

MARGINAL REGRESSION MODELS FOR RECURRENT AND TERMINAL EVENTS

Debashis Ghosh, Danyu Lin, D. Ghosh, 2002 .

Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers

Debashis Ghosh, Bin Zhu, Hongyu Zhao, 2017, Scientific Reports.

Global Associations between Copy Number and Transcript mRNA Microarray Data: An Empirical Study

Hyungwon Choi, Debashis Ghosh, D. Ghosh, 2008, Cancer informatics.

Linkage Disequilibrium: Ancient History Drives the New Genetics

Thomas E. Nichols, Debashis Ghosh, Gonçalo R. Abecasis, 2005, Human Heredity.

Combining Multiple Biomarker Models in Logistic Regression

Debashis Ghosh, D. Ghosh, Zheng Yuan, 2008, Biometrics.

A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants.

Debashis Ghosh, K Alaine Broadaway, Erin B Ware, 2016, American journal of human genetics.

Prostate Cancer Expression Profiles Reveals Pathway Dysregulation in Meta-Analysis of Microarrays : Interstudy Validation of Gene Updated

Debashis Ghosh, Mark A. Rubin, Arul M. Chinnaiyan, 2002 .

Comprehensive assessment of TMPRSS2 and ETS family gene aberrations in clinically localized prostate cancer

Debashis Ghosh, Lei Wang, Ronglai Shen, 2007, Modern Pathology.

Erratum: Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression (Nature (2009) 457 (910-914) DOI: 10.1038/nature07762)

Debashis Ghosh, Robert J. Lonigro, Gilbert S. Omenn, 2013 .

Expression of LIM kinase 1 is associated with reversible G1/S phase arrest, chromosomal instability and prostate cancer

Debashis Ghosh, William E Grizzle, Darshana Jhala, 2007, Molecular Cancer.

Detecting outlier genes from high-dimensional data: a fuzzy approach

Debashis Ghosh, 2010, BIOINFORMATICS 2010.

A transcriptional fingerprint of estrogen in human breast cancer predicts patient survival.

Debashis Ghosh, Jindan Yu, Arul M Chinnaiyan, 2008, Neoplasia.

Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling

Debashis Ghosh, Daniel J Sargent, Jeremy M G Taylor, 2012, Biometrics.

Incorporating the Empirical Null Hypothesis into the Benjamini-Hochberg Procedure

Debashis Ghosh, D. Ghosh, 2012, Statistical applications in genetics and molecular biology.

Proportional Hazards Regression for Cancer Studies

Debashis Ghosh, D. Ghosh, 2008, Biometrics.

Binary isotonic regression procedures, with application to cancer biomarkers

Debashis Ghosh, Moulinath Banerjee, D. Ghosh, 2004 .

Estimating controlled direct effects of restrictive feeding practices in the ‘Early dieting in girls’ study

Debashis Ghosh, Jennifer S Savage, Yeying Zhu, 2016, Journal of the Royal Statistical Society. Series C, Applied statistics.

Humoral Response Profiling Reveals Pathways to Prostate Cancer Progression*S

Jianjun Yu, Alexey I Nesvizhskii, Debashis Ghosh, 2008, Molecular & Cellular Proteomics.

Autoantibody Signatures in Prostate Cancer

Jianjun Yu, Debashis Ghosh, Ronglai Shen, 2006 .

The joint effect of air pollution exposure and copy number variation on risk for autism

Debashis Ghosh, Marylyn D Ritchie, Molly A. Hall, 2017, Autism research : official journal of the International Society for Autism Research.

Assessing Significance of Peptide Spectrum Matches in Proteomics: A Multiple Testing Approach

Debashis Ghosh, D. Ghosh, 2009 .

PECA: a novel statistical tool for deconvoluting time-dependent gene expression regulation.

Hyungwon Choi, Debashis Ghosh, Christine Vogel, 2014, Journal of proteome research.

Proinflammatory Caspase-2-Mediated Macrophage Cell Death Induced by a Rough Attenuated Brucella suis Strain

Debashis Ghosh, Yongqun He, Zuoshuang Xiang, 2011, Infection and Immunity.

Humoral immune response to alpha-methylacyl-CoA racemase and prostate cancer.

Debashis Ghosh, Arul M Chinnaiyan, Martin G Sanda, 2004, Journal of the National Cancer Institute.

Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis.

Debashis Ghosh, Lei Ding, Ronglai Shen, 2005, Cancer research.

Goodness‐of‐Fit Methods for Additive‐Risk Models in Tumorigenicity Experiments

Debashis Ghosh, D. Ghosh, 2003, Biometrics.

Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies

Debashis Ghosh, Wen-Yu Hua, D. Ghosh, 2015, Biometrics.

Decreased α-Methylacyl CoA Racemase Expression in Localized Prostate Cancer is Associated with an Increased Rate of Biochemical Recurrence and Cancer-Specific Death

Debashis Ghosh, Ronglai Shen, Mark A. Rubin, 2005, Cancer Epidemiology Biomarkers & Prevention.

Global gene expression analysis reveals evidence for decreased lipid biosynthesis and increased innate immunity in uninvolved psoriatic skin.

Xing Li, Debashis Ghosh, Zhaohui S. Qin, 2009, The Journal of investigative dermatology.

Bayesian Variable Selection with Joint Modeling of Categorical and Survival Outcomes: An Application to Individualizing Chemotherapy Treatment in Advanced Colorectal Cancer

Debashis Ghosh, Daniel J Sargent, Trivellore E Raghunathan, 2009, Biometrics.