D. Bandyopadhyay

发表

Likelihood Methods for Binary Responses of Present Components in a Cluster

S. Lipsitz, D. Sinha, Xiaoyun Li, 2011, Biometrics.

Modeling longitudinal drinking data in clinical trials: an application to the COMBINE study.

D. Bandyopadhyay, S. DeSantis, N. Baker, 2013, Drug and alcohol dependence.

Geostatistical estimation and prediction for censored responses.

Jose A. Ordonez, V. H. Lachos, D. Bandyopadhyay, 2018, Spatial statistics.

Quantile regression in linear mixed models: a stochastic approximation EM approach.

C. E. Galarza, V. H. Lachos, D. Bandyopadhyay, 2017, Statistics and its interface.

A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

B. Reich, D. Bandyopadhyay, Zhou Lan, 2019, Canadian Journal of Statistics.

Bayesian modeling of multivariate spatial binary data with applications to dental caries

Dipankar Bandyopadhyay, Brian J Reich, B. Reich, 2009, Statistics in medicine.

Hidden Markov models for zero‐inflated Poisson counts with an application to substance use

Dipankar Bandyopadhyay, Stacia M DeSantis, D. Bandyopadhyay, 2011, Statistics in medicine.

Adequacy of oral health information for patients with diabetes.

D. Bandyopadhyay, H. Yuen, W. Mountford, 2009, Journal of public health dentistry.

A spatial beta-binomial model for clustered count data on dental caries

B. Reich, E. Slate, D. Bandyopadhyay, 2011, Statistical methods in medical research.

Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation.

S. Lipsitz, D. Sinha, D. Bandyopadhyay, 2010, The annals of applied statistics.

Augmented mixed models for clustered proportion data

V. H. Lachos, D. Bandyopadhyay, Diana M. Galvis, 2017, Statistical methods in medical research.

A marginal cure rate proportional hazards model for spatial survival data

B. Reich, D. Bandyopadhyay, M. Nunn, 2015, Journal of the Royal Statistical Society. Series C, Applied statistics.

Association Models for Clustered Data with Binary and Continuous Responses

S. Lipsitz, D. Sinha, D. Bandyopadhyay, 2010, Biometrics.

Bayesian semiparametric variable selection with applications to periodontal data

Dipankar Bandyopadhyay, B. Cai, D. Bandyopadhyay, 2017, Statistics in medicine.

Diagnostics for censored mixed-effects models using the multivariate t-distribution

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2013 .

NONPARAMETRIC ESTIMATION OF CONDITIONAL CUMULATIVE HAZARDS FOR MISSING POPULATION MARKS

D. Bandyopadhyay, Amalia Jácome Pumar, 2010, Australian & New Zealand journal of statistics.

Non‐parametric regression in clustered multistate current status data with informative cluster size

Somnath Datta, Dipankar Bandyopadhyay, Ling Lan, 2017, Statistica Neerlandica.

Augmented mixed beta regression models for periodontal proportion data

V. H. Lachos, D. Bandyopadhyay, Diana M. Galvis, 2014, Statistics in medicine.

Bayesian Semiparametric Longitudinal Data Modeling Using NI Densities

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2015 .

Oral health knowledge and behavior among adults with diabetes.

D. Bandyopadhyay, B. Wolf, H. Yuen, 2009, Diabetes research and clinical practice.

Endoscopic cold incision, balloon dilation, mitomycin C application, and steroid injection for adult laryngotracheal stenosis

D. Bandyopadhyay, G. Goding, S. Misono, 2013, The Laryngoscope.

A spatial augmented beta regression model for periodontal proportion data

E. Slate, D. Bandyopadhyay, A. Parker, 2014 .

Richard E. Plant: Spatial Data Analysis in Ecology and Agriculture Using R

D. Bandyopadhyay, 2012 .

Evaluating the Effectiveness of Sex Offender Registration and Notification Policies for Reducing Sexual Violence against Women, Executive Summary

D. Bandyopadhyay, E. Letourneau, Kevin S. Armstrong, 2011 .

Doubly‐robust methods for differences in restricted mean lifetimes using pseudo‐observations

D. Bandyopadhyay, S. Han, Sangbum Choi, 2022, Pharmaceutical statistics.

Metabolic syndrome and periodontitis in Gullah African Americans with type 2 diabetes mellitus.

E. Slate, D. Bandyopadhyay, Jyotika K. Fernandes, 2013, Journal of clinical periodontology.

Periodontal disease progression and glycaemic control among Gullah African Americans with type-2 diabetes.

D. Bandyopadhyay, Jyotika K. Fernandes, R. Leite, 2010, Journal of clinical periodontology.

Simultaneous modeling of the impact of treatments on alcohol consumption and quality of life in the COMBINE study: a coupled hidden Markov analysis.

D. Bandyopadhyay, S. DeSantis, J. Prisciandaro, 2012, Alcoholism, clinical and experimental research.

An evaluation of serum albumin, root caries, and other covariates in Gullah African Americans with type-2 diabetes.

E. Slate, D. Bandyopadhyay, Jyotika K. Fernandes, 2011, Community dentistry and oral epidemiology.

Alleviating spatial confounding in frailty models.

D. Bandyopadhyay, M. Prates, D. R. M. Azevedo, 2022, Biostatistics.

Minorize–maximize algorithm for the generalized odds rate model for clustered current status data

S. Sinha, D. Bandyopadhyay, Kejun He, 2022, Canadian Journal of Statistics.

Pseudo-value regression of clustered multistate current status data with informative cluster sizes

D. Bandyopadhyay, S. Datta, Samuel Anyaso-Samuel, 2022, 2211.10839.

Structured additive distributional zero augmented beta regression modeling of mortality in Nigeria.

D. Bandyopadhyay, E. Gayawan, Oluwatoyin Deborah Fasusi, 2020, Spatial statistics.

Bayesian additive regression trees for multivariate skewed responses

D. Sinha, D. Bandyopadhyay, A. Linero, 2022, Statistics in medicine.

Driving performance in patients with cancer in the head and neck region: a pilot study.

M. B. Gillespie, R. Barkley, D. Bandyopadhyay, 2007, Archives of otolaryngology--head & neck surgery.

MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models

Dipankar Bandyopadhyay, Marcos O. Prates, Douglas R. M. Azevedo, 2021, Journal of Agricultural, Biological and Environmental Statistics.

Skew‐normal/independent linear mixed models for censored responses with applications to HIV viral loads

Dipankar Bandyopadhyay, Victor H Lachos, Dipak K Dey, 2012, Biometrical journal. Biometrische Zeitschrift.

Composite likelihood inference for ordinal periodontal data with replicated spatial patterns

Jun Zhu, D. Bandyopadhyay, Yincai Tang, 2021, Statistics in medicine.

Bridging Conditional and Marginal Inference for Spatially Referenced Binary Data

B. Reich, D. Bandyopadhyay, L. Boehm, 2013, Biometrics.

A multilevel model for spatially correlated binary data in the presence of misclassification: an application in oral health research

E. Lesaffre, T. Mutsvari, D. Declerck, 2013, Statistics in medicine.

Immediate Effect of Xylitol Chewing Gum and Mouth Rinse on Salivary Levels of Mutans Streptococci in Adults with Systemic Sclerosis: A Pilot Study.

D. Bandyopadhyay, H. Yuen, C. Westwater, 2012, Journal of experimental and integrative medicine.

Association of the presence of influenza A virus and porcine reproductive and respiratory syndrome virus in sow farms with post-weaning mortality.

D. Bandyopadhyay, R. Morrison, M. Torremorell, 2015, Preventive veterinary medicine.

Effect of a multi-faceted intervention on gingival health among adults with systemic sclerosis.

D. Bandyopadhyay, R. Silver, H. Yuen, 2011, Clinical and experimental rheumatology.

Propensity Score Modeling in Electronic Health Records with Time-to-Event Endpoints: Application to Kidney Transplantation

Jonathan W. Yu, Shu Yang, D. Bandyopadhyay, 2022, Journal of Data Science.

Factors that limit access to dental care for adults with spinal cord injury.

D. Bandyopadhyay, B. Wolf, A. Selassie, 2010, Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry.

From Mouth-level to Tooth-level DMFS: Conceptualizing a Theoretical Framework.

Dipankar Bandyopadhyay, D. Bandyopadhyay, 2013, Journal of dental, oral and craniofacial epidemiology.

A Zero-Inflated Spatial Gamma Process Model With Applications to Disease Mapping

D. Bandyopadhyay, L. E. Nieto-Barajas, L. Nieto-Barajas, 2013 .

Cardioprotective medication use in Black and white breast cancer survivors

W. Hundley, D. Bandyopadhyay, V. Sheppard, 2021, Breast Cancer Research and Treatment.

Some Considerations for Excess Zeroes in Substance Abuse Research

K. Brady, D. Bandyopadhyay, S. DeSantis, 2011, The American journal of drug and alcohol abuse.

Comparing conditional survival functions with missing population marks in a competing risks model

Dipankar Bandyopadhyay, M. Amalia Jácome, D. Bandyopadhyay, 2016, Comput. Stat. Data Anal..

Initial Monotherapy and Combination Therapy and Hypertension Control the First Year

S. Shaftman, B. Egan, D. Bandyopadhyay, 2012, Hypertension.

ADAPTIVE-WEIGHT BURDEN TEST FOR ASSOCIATIONS BETWEEN QUANTITATIVE TRAITS AND GENOTYPE DATA WITH COMPLEX CORRELATIONS.

Dajiang J. Liu, D. Bandyopadhyay, Xiaowei Wu, 2018, The annals of applied statistics.

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

Dipankar Bandyopadhyay, Brian J. Reich, Eric B. Laber, 2018, Journal of the American Statistical Association.

BAREB: A Bayesian repulsive biclustering model for periodontal data

Dipankar Bandyopadhyay, Yuliang Li, Yanxun Xu, 2019, Statistics in medicine.

Cigarette and cannabis use trajectories among adolescents in treatment for attention-deficit/hyperactivity disorder and substance use disorders.

D. Bandyopadhyay, T. Winhusen, K. Gray, 2011, Drug and alcohol dependence.

Sampling Spatial Units for Agricultural Surveys

Dipankar Bandyopadhyay, D. Bandyopadhyay, 2016 .

Examining deterrence of adult sex crimes: A semi-parametric intervention time-series approach

Jin-Hong Park, Dipankar Bandyopadhyay, Elizabeth Letourneau, 2014, Comput. Stat. Data Anal..

Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data

S. Sinha, D. Bandyopadhyay, Kejun He, 2019, 1912.00295.

Inverse Probability of Censoring Weighted U‐statistics for Right‐Censored Data with an Application to Testing Hypotheses

G. Satten, D. Bandyopadhyay, S. Datta, 2010 .

Sieve estimation of a class of partially linear transformation models with interval-censored competing risks data.

D. Bandyopadhyay, Xuewen Lu, G. Bakoyannis, 2023, Statistica Sinica.

A partially linear additive model for clustered proportion data

Heng Lian, Dipankar Bandyopadhyay, Weihua Zhao, 2018, Statistics in medicine.

Bayesian nonparametric multiway regression for clustered binomial data

Dipankar Bandyopadhyay, Eric F. Lock, D. Bandyopadhyay, 2019, Stat.

Proportional odds model for dose‐finding clinical trial designs with ordinal toxicity grading

D. Bandyopadhyay, E. Garrett-Mayer, E. M. Meter, 2011, Statistics in medicine.

Health insurance status is associated with periodontal disease progression among Gullah African-Americans with type 2 diabetes mellitus.

E. Slate, D. Bandyopadhyay, Jyotika K. Fernandes, 2011, Journal of public health dentistry.

An investigation of the MC‐SIMEX method with application to measurement error in periodontal outcomes

Dipankar Bandyopadhyay, E. Slate, D. Bandyopadhyay, 2009, Statistics in medicine.

Weighted least‐squares regression with competing risks data

Hyunsoon Cho, D. Bandyopadhyay, Sangbum Choi, 2021, Statistics in medicine.

SMARTp: A SMART design for nonsurgical treatments of chronic periodontitis with spatially referenced and nonrandomly missing skewed outcomes

Dipankar Bandyopadhyay, Jing Xu, Sedigheh Mirzaei Salehabadi, 2019, Biometrical journal. Biometrische Zeitschrift.

Psychosocial distress in patients presenting with voice concerns.

D. Bandyopadhyay, P. Frazier, B. Yueh, 2014, Journal of voice : official journal of the Voice Foundation.

Assessing Drug Use during Follow-Up: Direct Comparison of Candidate Outcome Definitions in Pooled Analyses of Addiction Treatment Studies

Sarah L. Logan, K. Brady, T. Killeen, 2011, The American journal of drug and alcohol abuse.

Do Sex Offender Registration and Notification Requirements Deter Juvenile Sex Crimes?

D. Sinha, D. Bandyopadhyay, E. Letourneau, 2010 .

Exploration of dimensionality and psychometric properties of the Pittsburgh Sleep Quality Index in cases with temporomandibular disorders

D. Bandyopadhyay, M. John, E. Schiffman, 2014, Health and Quality of Life Outcomes.

The Effects of Sex Offender Registration and Notification on Judicial Decisions

D. Sinha, D. Bandyopadhyay, E. Letourneau, 2010 .

Effects of Sex Offender Registration Policies on Juvenile Justice Decision Making

D. Sinha, D. Bandyopadhyay, E. Letourneau, 2009, Sexual abuse : a journal of research and treatment.

Differential induction of CYP1A1 and CYP1B1 by benzo[a]pyrene in oral squamous cell carcinoma cell lines and by tobacco smoking in oral mucosa.

D. Bandyopadhyay, A. Chi, N. Marlow, 2009, Oral oncology.

Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging

Dipankar Bandyopadhyay, Joseph Guinness, Brian J Reich, 2019, Biometrics.

Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models

K. Lam, D. Bandyopadhyay, K. Wong, 2021, Statistics in medicine.

A LATENT FACTOR MODEL FOR SPATIAL DATA WITH INFORMATIVE MISSINGNESS.

Dipankar Bandyopadhyay, Brian J Reich, B. Reich, 2010, The annals of applied statistics.

Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution

Victor H. Lachos, Dipankar Bandyopadhyay, Larissa A. Matos, 2015, J. Multivar. Anal..

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

V. H. Lachos, D. Bandyopadhyay, L. M. Castro, 2015, Journal of Agricultural, Biological, and Environmental Statistics.

Robust Joint Non-linear Mixed-Effects Models and Diagnostics for Censored HIV Viral Loads with CD4 Measurement Error

Victor H. Lachos, Dipankar Bandyopadhyay, Luis M. Castro, 2015 .

Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions.

Aldo M. Garay, V. H. Lachos, D. Bandyopadhyay, 2011, Statistics & probability letters.

A monotone single index model for missing-at-random longitudinal proportion data

Shumei S. Sun, D. Pati, D. Bandyopadhyay, 2022, bioRxiv.

Acute Effect of Height-Adjustable Workstations on Blood Glucose Levels in Women With Impaired Fasting Glucose Levels While Working: A Pilot Study.

Mark A Pereira, D. Bandyopadhyay, B. Lewis, 2021, Translational journal of the American College of Sports Medicine.

Spatiotemporal signal detection using continuous shrinkage priors

Dipankar Bandyopadhyay, Brian J Reich, An-Ting Jhuang, 2020, Statistics in medicine.

Bayesian regression analysis of skewed tensor responses.

Qing Mai, D. Sinha, D. Bandyopadhyay, 2022, Biometrics.

Semiparametric left truncation and right censorship models with missing censoring indicators

D. Bandyopadhyay, Sundarraman Subramanian, 2008 .

The destructive negative binomial cure rate model with a latent activation scheme.

Francisco Louzada, Dipankar Bandyopadhyay, Vicente G Cancho, 2013, Statistical methodology.

Semiparametric Bayesian latent variable regression for skewed multivariate data

S. Lipsitz, D. Pati, D. Sinha, 2019, Biometrics.

Effects of South Carolina’s Sex Offender Registration and Notification Policy on Deterrence of Adult Sex Crimes

D. Sinha, D. Bandyopadhyay, E. Letourneau, 2010 .

The Influence of Sex Offender Registration on Juvenile Sexual Recidivism

D. Sinha, D. Bandyopadhyay, E. Letourneau, 2009 .

Non‐parametric spatial models for clustered ordered periodontal data

Antonio Canale, Dipankar Bandyopadhyay, A. Canale, 2016, Journal of the Royal Statistical Society. Series C, Applied statistics.

Non-treatment laboratory stress- and cue-reactivity studies are associated with decreased substance use among drug-dependent individuals.

K. Brady, S. Back, D. Bandyopadhyay, 2009, Drug and alcohol dependence.

Effects of South Carolina’s Sex Offender Registration and Notification Policy on Adult Recidivism

Dipankar Bandyopadhyay, Debajyoti Sinha, Jill S. Levenson, 2010 .

Testing Equality of Survival Distributions when the Population Marks are Missing.

D. Bandyopadhyay, S. Datta, 2008, Journal of statistical planning and inference.

ADAPTIVE-WEIGHT BURDEN TEST FOR ASSOCIATIONS BETWEEN QUANTITATIVE TRAITS AND GENOTYPE DATA WITH COMPLEX CORRELATIONS.

Dajiang J. Liu, D. Bandyopadhyay, Xiaowei Wu, 2018, The annals of applied statistics.

A graphical model for skewed matrix-variate non-randomly missing data.

Lin Zhang, Dipankar Bandyopadhyay, D. Bandyopadhyay, 2018, Biostatistics.

Proportional odds model for dose‐finding clinical trial designs with ordinal toxicity grading

D. Bandyopadhyay, E. Garrett-Mayer, E. M. Meter, 2011, Statistics in medicine.

Semiparametric Models for Left Truncation and Right Censoring with Missing Censoring Indicators

D. Bandyopadhyay, Sundarraman Subramanian, 2008 .

Modeling longitudinal drinking data in clinical trials: an application to the COMBINE study.

D. Bandyopadhyay, S. DeSantis, N. Baker, 2013, Drug and alcohol dependence.

Oral health knowledge and behavior among adults with diabetes.

D. Bandyopadhyay, B. Wolf, H. Yuen, 2009, Diabetes research and clinical practice.

Refractive shift in pseudophakic eyes during the second decade of life

D. Bandyopadhyay, R. Trivedi, E. M. Wilson, 2012, Journal of cataract and refractive surgery.

Comparison of aphakic refraction formulas for secondary in-the-bag intraocular lens power estimation in children.

M. E. Wilson, D. Bandyopadhyay, R. Trivedi, 2011, Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus.

Book Reviews

S. Hofer, D. Bandyopadhyay, Mark Chang, 2013 .

Effects of Sex Offender Registration Policies on Juvenile Justice Decision Making

D. Sinha, D. Bandyopadhyay, Elizabeth J. Letourneau, 2009, Sexual abuse : a journal of research and treatment.

Doubly robust semiparametric estimation for the missing censoring indicator model

Dipankar Bandyopadhyay, Sundarraman Subramanian, D. Bandyopadhyay, 2010 .

A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes

D. Bandyopadhyay, C. Lee, Kin Yau Wong, 2022, Biometrics.

Semiparametric Bayesian latent variable regression for skewed multivariate data

S. Lipsitz, D. Pati, D. Sinha, 2019, Biometrics.

Validation of the Orofacial Esthetic Scale in the general population

D. Bandyopadhyay, M. John, T. List, 2012, Health and Quality of Life Outcomes.

A BAYESIAN HIERARCHICAL SPATIAL MODEL FOR DENTAL CARIES ASSESSMENT USING NON-GAUSSIAN MARKOV RANDOM FIELDS.

Ying Yuan, Dipankar Bandyopadhyay, Ick Hoon Jin, 2016, The annals of applied statistics.

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness

Dipankar Bandyopadhyay, Brian J Reich, Howard D Bondell, 2013, Journal of the American Statistical Association.

Spatial skew‐normal/independent models for nonrandomly missing clustered data

V. H. Lachos, D. Bandyopadhyay, M. Prates, 2021, Statistics in medicine.

Geostatistical modeling of positive‐definite matrices: An application to diffusion tensor imaging

J. Guinness, D. Bandyopadhyay, Liangsuo Ma, 2021, Biometrics.

Linear and Nonlinear Mixed‐Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions

Dipankar Bandyopadhyay, Victor H Lachos, Dipak K Dey, 2011, Biometrics.

Effect of a multi-faceted intervention on gingival health among adults with systemic sclerosis.

D. Bandyopadhyay, R. Silver, H. Yuen, 2011, Clinical and experimental rheumatology.

Hidden Markov models for zero‐inflated Poisson counts with an application to substance use

D. Bandyopadhyay, S. DeSantis, 2011, Statistics in medicine.

Demographic differences in the treatment and control of glucose in type 2 diabetic patients: implications for health care practice.

S. Shaftman, B. Egan, D. Bandyopadhyay, 2012, Ethnicity & disease.

Augmenting beta regression for periodontal proportion data via the SAS NLMIXED procedure.

D. Bandyopadhyay, S. DeSantis, B. Lewis, 2017, Journal of applied probability and statistics.