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BMC Medical Research Methodology|July 22, 2023
Evaluation of Bayesian spatiotemporal infectious disease models for prospective surveillance analysisJoanne Kim, Andrew B Lawson, Brian Neelon, et al.Statistics in Medicine|October 10, 2024
A Novel Bayesian Spatio-Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease RiskJoanne Kim, Andrew B Lawson, Brian Neelon, et al.Bayesian Analysis|February 15, 2021
Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma MixturesBrian NeelonInternational Journal of Health Geographics|February 28, 2021
Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studiesMelanie L Davis, Brian Neelon, Paul J Nietert, et al.Spatial and Spatio-Temporal Epidemiology|August 19, 2019
Analysis of racial differences in hospital stays in the presence of geographic confoundingMelanie L Davis, Brian Neelon, Paul J Nietert, et al.Statistical Methods in Medical Research|November 18, 2017
Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetesMelanie L Davis, Brian Neelon, Paul J Nietert, et al.Biometrics|July 6, 2016
The LZIP: A Bayesian latent factor model for correlated zero-inflated countsBrian Neelon, Dongjun ChungGigascience|January 20, 2026
SpaceBF: Spatial coexpression analysis using Bayesian Fused approaches in spatial omics datasetsSouvik Seal, Brian NeelonBiorxiv : the Preprint Server for Biology|April 16, 2025
SpaceBF: Spatial coexpression analysis using Bayesian Fused approaches in spatial omics datasetsSouvik Seal, Brian NeelonBiometrics|August 21, 2003
Bayesian inference on order-constrained parameters in generalized linear modelsDavid B Dunson, Brian NeelonPageof 25