Brian Neelon

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Respiratory Syndrome Coronavirus

High Throughput

Top Venues

Statistics in medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Jonathan Beall, Hong Li, Bonnie Martin-Harris, Brian Neelon, Jordan Elm, Evan Graboyes, Elizabeth Hill
Bayesian hierarchical profile regression for binary covariates. Statistics in medicine (2024)
Jonathan Beall, Hong Li, Bonnie Martin-Harris, Brian Neelon, Jordan Elm, Evan Graboyes, Elizabeth Hill
Bayesian hierarchical profile regression for binary covariates. Statistics in medicine 43 (18) (2024)
Chun-Che Wen, Nathaniel L Baker, Rajib Paul, Elizabeth G Hill, Kelly Hunt, Hong Li, Kevin Gray, Brian Neelon
A Bayesian zero-inflated beta-binomial model for longitudinal data with group-specific changepoints. Statistics in medicine (2023)
Zequn Sun, Dongjun Chung, Brian Neelon, Andrew Millar-Wilson, Stephen P Ethier, Feifei Xiao, Yinan Zheng, Kristin Wallace, Gary Hardiman
A Bayesian framework for pathway-guided identification of cancer subgroups by integrating multiple types of genomic data. Statistics in medicine (2023)
Carter Allen, Yuzhou Chang, Brian Neelon, Won Chang, Hang J Kim, Zihai Li, Qin Ma, Dongjun Chung
A Bayesian multivariate mixture model for high throughput spatial transcriptomics. Biometrics (2022)
Brian Neelon, Fedelis Mutiso, Noel T Mueller, John L Pearce, Sara E Benjamin-Neelon
Spatial and temporal trends in social vulnerability and COVID-19 incidence and death rates in the United States. PloS one 16 (3) (2021)
Carter Allen, Sara E Benjamin-Neelon, Brian Neelon
A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development. Biometrics 77 (2) (2020)
Brian Neelon, Azza Shoaibi, Sara E Bejamin-Neelon
A multivariate discrete failure time model for the analysis of infant motor development. Statistics in medicine 38 (9) (2018)