Brian Neelon

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All published works
Action Title Year Authors
+ A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk 2024 J.H. Kim
Andrew Lawson
Brian Neelon
Jeffrey E. Korte
Jan M. Eberth
Gerardo Chowell
+ A Bayesian beta-binomial piecewise growth mixture model for longitudinal overdispersed binomial data 2024 Chun‐Che Wen
Nathaniel L. Baker
Rajib Paul
Elizabeth G. Hill
Kelly J. Hunt
Hong Li
Kevin M. Gray
Brian Neelon
+ A Marginalized Zero‐Inflated Negative Binomial Model for Spatial Data: Modeling COVID‐19 Deaths in Georgia 2024 Fedelis Mutiso
John L. Pearce
Sara E. Benjamin‐Neelon
Noel T. Mueller
Hong Li
Brian Neelon
+ PDF Chat SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA 2024 Souvik Seal
Brian Neelon
Peggi M. Angel
Elizabeth C. O’Quinn
Elizabeth G. Hill
Thao Vu
Debashis Ghosh
Anand S. Mehta
Kristin Wallace
Alexander V. Alekseyenko
+ A Bayesian zero‐inflated beta‐binomial model for longitudinal data with group‐specific changepoints 2023 Chun‐Che Wen
Nathaniel L. Baker
Rajib Paul
Elizabeth G. Hill
Kelly J. Hunt
Hong Li
Kevin M. Gray
Brian Neelon
+ Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina 2023 Fedelis Mutiso
Hongli Li
John L. Pearce
Sara E. Benjamin‐Neelon
Noel T. Mueller
Brian Neelon
+ PDF Chat Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysis 2023 Joanne Kim
Andrew Lawson
Brian Neelon
Jeffrey E. Korte
Jan M. Eberth
Gerardo Chowell
+ PDF Chat SpaceANOVA: Spatial co-occurrence analysis of cell types in multiplex imaging data using point process and functional ANOVA 2023 Souvik Seal
Brian Neelon
Peggi M. Angel
Elizabeth C. O’Quinn
Elizabeth G. Hill
Thao Vu
Debashis Ghosh
Anand S. Mehta
Kristin Wallace
Alexander V. Alekseyenko
+ Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia 2022 Fedelis Mutiso
John L. Pearce
Sara E. Benjamin‐Neelon
Noel T. Mueller
Hong Li
Brian Neelon
+ A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations 2022 Brian Neelon
Chun‐Che Wen
Sara E. Benjamin‐Neelon
+ PDF Chat A Bayesian Multivariate Mixture Model for Spatial Transcriptomics Data 2021 Carter Allen
Yuzhou Chang
Brian Neelon
Won Chang
Hang J. Kim
Zihai Li
Qin Ma
Dongjun Chung
+ PDF Chat Spatial and temporal trends in social vulnerability and COVID-19 incidence and death rates in the United States 2021 Brian Neelon
Fedelis Mutiso
Noel T. Mueller
John L. Pearce
Sara E. Benjamin‐Neelon
+ PDF Chat Associations Between Governor Political Affiliation and COVID-19 Cases, Deaths, and Testing in the U.S. 2021 Brian Neelon
Fedelis Mutiso
Noel T. Mueller
John L. Pearce
Sara E. Benjamin‐Neelon
+ PDF Chat Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies 2021 Melanie Davis
Brian Neelon
Paul J. Nietert
Lane F. Burgette
Kelly J. Hunt
Andrew Lawson
Leonard E. Egede
+ Associations between governor political affiliation and COVID-19 cases, deaths, and testing in the United States 2020 Brian Neelon
Fedelis Mutiso
Noel T. Mueller
John L. Pearce
Sara E. Benjamin‐Neelon
+ A Bayesian hierarchical change point model with parameter constraints 2020 Hong Li
Andreana Benitez
Brian Neelon
+ Spatial and temporal trends in social vulnerability and COVID-19 incidence and death rates in the United States 2020 Brian Neelon
Fedelis Mutiso
Noel T. Mueller
John L. Pearce
Sara E. Benjamin‐Neelon
+ A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development 2020 Carter Allen
Sara E. Benjamin‐Neelon
Brian Neelon
+ Analysis of racial differences in hospital stays in the presence of geographic confounding 2019 Melanie Davis
Brian Neelon
Paul J. Nietert
Lane F. Burgette
Kelly J. Hunt
Andrew Lawson
Leonard E. Egede
+ Two-Part Models for Zero-Modified Count and Semicontinuous Data 2019 Brian Neelon
A. James O’Malley
+ Bayesian Zero-Inflated Negative Binomial Regression Based on PĂłlya-Gamma Mixtures 2018 Brian Neelon
+ PDF Chat Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes 2017 Melanie Davis
Brian Neelon
Paul J. Nietert
Kelly J. Hunt
Lane F. Burgette
Andrew Lawson
Leonard E. Egede
+ PDF Chat Marginalized mixture models for count data from multiple source populations 2017 Habtamu Benecha
Brian Neelon
Kimon Divaris
John S. Preisser
+ Two parts are better than one: modeling marginal means of semicontinuous data 2017 Valerie A. Smith
Brian Neelon
Matthew L. Maciejewski
John S. Preisser
+ Two-Part Models for Zero-Modified Count and Semicontinuous Data 2017 Brian Neelon
A. James O’Malley
+ Modeling zero‐modified count and semicontinuous data in health services research Part 1: background and overview 2016 Brian Neelon
A. James O’Malley
Valerie A. Smith
+ Modeling zero‐modified count and semicontinuous data in health services research part 2: case studies 2016 Brian Neelon
A. James O’Malley
Valerie A. Smith
+ The LZIP: A Bayesian Latent Factor Model for Correlated Zero-Inflated Counts 2016 Brian Neelon
Dongjun Chung
+ Spatial Data Analysis for Health Services Research 2016 Brian Neelon
+ A marginalized two-part model for longitudinal semicontinuous data 2015 Valerie A. Smith
Brian Neelon
John S. Preisser
Matthew L. Maciejewski
+ PDF Chat Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers 2015 Lili Zhao
Feng Dai
Brian Neelon
Marc Buyse
+ PDF Chat Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures 2015 Brian Neelon
Li Zhu
Sara E. Benjamin Neelon
+ PDF Chat Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers 2015 Lili Zhao
Dai Feng
Brian Neelon
Marc Buyse
+ A marginalized two‐part model for semicontinuous data 2014 Valerie A. Smith
John S. Preisser
Brian Neelon
Matthew L. Maciejewski
+ Likelihood-Based Random-Effect Meta-Analysis of Binary Events 2014 Anup Amatya
Dulal K. Bhaumik
Sharon‐Lise T. Normand
Joel B. Greenhouse
Eloise Kaizar
Brian Neelon
Robert D. Gibbons
+ PDF Chat A Multivariate Spatial Mixture Model for Areal Data: Examining Regional Differences in Standardized Test Scores 2014 Brian Neelon
Alan E. Gelfand
Marie Lynn Miranda
+ Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits 2014 Brian Neelon
Howard H. Chang
Qiang Ling
Nicole S Hastings
+ Latent Factor and Latent Class Models to Accommodate Heterogeneity, Using Structural Equation 2014 A. James O’Malley
Brian Neelon
+ Exercises and Solutions in Statistical Theory 2013 Lawrence L. Kupper
Brian Neelon
Sean M. O'Brien
+ PDF Chat Bayesian Latent Factor Regression for Functional and Longitudinal Data 2012 Silvia Montagna
Surya T. Tokdar
Brian Neelon
David B. Dunson
+ PDF Chat Meta-Analysis of Rare Binary Adverse Event Data 2012 Dulal K. Bhaumik
Anup Amatya
Sharon‐Lise T. Normand
Joel B. Greenhouse
Eloise Kaizar
Brian Neelon
Robert D. Gibbons
+ A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes 2012 Brian Neelon
Rebecca Anthopolos
Marie Lynn Miranda
+ PDF Chat A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use 2010 Brian Neelon
A. James O’Malley
Sharon‐Lise T. Normand
+ Bayesian Analysis Using Power Priors with Application to Pediatric Quality of Care 2010 Brian Neelon
A. James O’Malley
+ PDF Chat Bayesian Isotonic Regression and Trend Analysis 2004 Brian Neelon
David B. Dunson
+ PDF Chat Bayesian Inference on Order‐Constrained Parameters in Generalized Linear Models 2003 David B. Dunson
Brian Neelon
+ PDF Chat Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models 2003 David B. Dunson
Brian Neelon
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Bayesian Measures of Model Complexity and Fit 2002 David J. Spiegelhalter
Nicola Best
Bradley P. Carlin
Angelika van der Linde
12
+ Specification and testing of some modified count data models 1986 John Mullahy
10
+ PDF Chat Deviance information criteria for missing data models 2006 Gilles Celeux
Florence Forbes
Caroline Robert
D. M. Titterington
10
+ Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing 1992 Diane Lambert
10
+ Bayesian image restoration, with two applications in spatial statistics 1991 Julian Besag
Jeremy York
Annie Molliďż˝
9
+ PDF Chat Bias in 2-part mixed models for longitudinal semicontinuous data 2009 Li Su
Brian D. M. Tom
Vernon T. Farewell
9
+ PDF Chat Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables 2013 Nicholas G. Polson
James G. Scott
Jesse Windle
9
+ Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory 2010 Sumio Watanabe
8
+ Bayesian Zero-Inflated Negative Binomial Regression Based on PĂłlya-Gamma Mixtures 2018 Brian Neelon
8
+ A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data 2001 Maren K. Olsen
Joseph L. Schafer
8
+ PDF Chat Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses 1989 Quang Vuong
7
+ Zero‐Altered and other Regression Models for Count Data with Added Zeros 1994 David C. Heilbron
7
+ PDF Chat A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use 2010 Brian Neelon
A. James O’Malley
Sharon‐Lise T. Normand
7
+ POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES 1996 Andrew Gelman
Xiao‐Li Meng
Hal S. Stern
7
+ None 2000 David J. Lunn
Andrew C. Thomas
Nicky Best
David J. Spiegelhalter
7
+ Analysis of repeated measures data with clumping at zero 2002 Janet A. Tooze
Gary K. Grunwald
Richard H. Jones
6
+ Reversible jump Markov chain Monte Carlo computation and Bayesian model determination 1995 Peter J. Green
6
+ A class of distributions which includes the normal ones 1985 Adelchi Azzalini
6
+ Bayes Factors 1995 Robert E. Kass
Adrian E. Raftery
6
+ Sampling-Based Approaches to Calculating Marginal Densities 1990 Alan E. Gelfand
A. F. M. Smith
6
+ PDF Chat A flexible two-part random effects model for correlated medical costs 2009 Lei Liu
Robert L. Strawderman
Mark E. Cowen
Ya‐Chen Tina Shih
6
+ PDF Chat Marginalized zero‐inflated negative binomial regression with application to dental caries 2015 John S. Preisser
Kalyan Das
D. Leann Long
Kimon Divaris
6
+ PDF Chat Bayesian negative binomial regression for differential expression with confounding factors 2018 Siamak Zamani Dadaneh
Mingyuan Zhou
Xiaoning Qian
6
+ PDF Chat Generalized modeling approaches to risk adjustment of skewed outcomes data 2005 Willard G. Manning
Anirban Basu
John Mullahy
6
+ PDF Chat Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments 1992 John Geweke
5
+ Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations 2009 HĂĽvard Rue
Sara Martino
NicolĂĄs Chopin
5
+ Spatial Interaction and the Statistical Analysis of Lattice Systems 1974 Julian Besag
5
+ PDF Chat Random effect models for repeated measures of zero-inflated count data 2005 Yongyi Min
Alan Agresti
5
+ PDF Chat Review and Recommendations for Zero-Inflated Count Regression Modeling of Dental Caries Indices in Epidemiological Studies 2012 John S. Preisser
J.W. Stamm
D. Leann Long
M.E. Kincade
5
+ Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study 2000 Daniel B. Hall
5
+ A marginalized two‐part model for semicontinuous data 2014 Valerie A. Smith
John S. Preisser
Brian Neelon
Matthew L. Maciejewski
5
+ The Intrinsic Bayes Factor for Model Selection and Prediction 1996 James O. Berger
Luis R. Pericchi
5
+ Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology 1999 Kathryn Roeder
Kevin G. Lynch
Daniel S. Nagin
5
+ PDF Chat Modelling count data with overdispersion and spatial effects 2006 Susanne Gschlößl
Claudia Czado
5
+ Predicting costs over time using Bayesian Markov chain Monte Carlo methods: an application to early inflammatory polyarthritis 2006 Nicola J. Cooper
Paul C. Lambert
Keith R. Abrams
Alex J. Sutton
5
+ PDF Chat Bivariate Zero-Inflated Regression for Count Data: A Bayesian Approach with Application to Plant Counts 2010 Anandamayee Majumdar
Corinna Gries
5
+ Bayesian Model Choice: Asymptotics and Exact Calculations 1994 Alan E. Gelfand
Dipak K. Dey
5
+ Assessing differential impacts of COVID-19 on black communities 2020 Gregorio A. Millett
Austin Jones
David Benkeser
Stefan Baral
Laina D. Mercer
Chris Beyrer
Brian Honermann
Elise Lankiewicz
Leandro Mena
Jeffrey S. Crowley
5
+ Bayesian analysis of zero-inflated regression models 2004 Sujit K. Ghosh
Pabak Mukhopadhyay
Jye‐Chyi Lu
5
+ PDF Chat Use of log‐skew‐normal distribution in analysis of continuous data with a discrete component at zero 2008 High Seng Chai
Kent R. Bailey
5
+ The Impact of Social Vulnerability on COVID-19 in the U.S.: An Analysis of Spatially Varying Relationships 2020 Ibraheem M. Karaye
Jennifer A. Horney
5
+ Bayesian Analysis of Zero-Inflated Distributions 2003 Josemar Rodrigues
4
+ The k‐ZIG: Flexible Modeling for Zero‐Inflated Counts 2012 Souparno Ghosh
Alan E. Gelfand
Kai Zhu
James S. Clark
4
+ A Method for Analyzing Longitudinal Outcomes with Many Zeros 2004 Haiyi Xie
Gregory J. McHugo
Anjana Sengupta
Robin E. Clark
Robert E. Drake
4
+ Bayesian Inference for a Two-Part Hierarchical Model 2006 Min Zhang
Robert L. Strawderman
Mark E. Cowen
Martin T. Wells
4
+ PDF Chat A marginalized zero‐inflated Poisson regression model with overall exposure effects 2014 D. Leann Long
John S. Preisser
Amy H. Herring
Carol E. Golin
4
+ Growth Curve Models for Zero-Inflated Count Data: An Application to Smoking Behavior 2007 Hui Liu
4
+ Structured additive regression for overdispersed and zero-inflated count data 2006 Ludwig Fahrmeir
Leyre Osuna EchavarrĂ­a
4
+ Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits 2014 Brian Neelon
Howard H. Chang
Qiang Ling
Nicole S Hastings
4
+ PDF Chat Estimating overall exposure effects for zero-inflated regression models with application to dental caries 2011 Jeffrey M. Albert
Wei Wang
Suchitra Nelson
4