Brian Neelon, Ph.D.
Affiliations: | 2005 | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
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"Brian Neelon"Parents
Sign in to add mentorLawrence L. Kupper | grad student | 2005 | UNC Chapel Hill | |
(Bayesian order restricted inference.) |
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Publications
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Neelon B. (2019) Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma Mixtures. Bayesian Analysis. 14: 829-855 |
Stevens DR, Taylor SN, Roberts JR, et al. (2019) Breastfeeding Initiation as Related to the Interaction of Race/Ethnicity and Maternal Diabetes. Breastfeeding Medicine : the Official Journal of the Academy of Breastfeeding Medicine |
Neelon B, Shoaibi A, Benjamin-Neelon SE. (2018) A multivariate discrete failure time model for the analysis of infant motor development. Statistics in Medicine |
Zaltz DA, Pate RR, O'Neill JR, et al. (2018) Barriers and Facilitators to Compliance with a State Healthy Eating Policy in Early Care and Education Centers. Childhood Obesity (Print). 14: 349-357 |
Benecha HK, Neelon B, Divaris K, et al. (2017) Marginalized mixture models for count data from multiple source populations. Journal of Statistical Distributions and Applications. 4: 3 |
Smith VA, Neelon B, Maciejewski ML, et al. (2017) Two parts are better than one: modeling marginal means of semicontinuous data Health Services and Outcomes Research Methodology. 17: 198-218 |
Neelon B, O'Malley AJ, Smith VA. (2016) Modeling zero-modified count and semicontinuous data in health services research part 2: case studies. Statistics in Medicine |
Neelon B, O'Malley AJ, Smith VA. (2016) Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview. Statistics in Medicine |
Neelon B, Chung D. (2016) The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics |
Smith VA, Neelon B, Preisser JS, et al. (2015) A marginalized two-part model for longitudinal semicontinuous data. Statistical Methods in Medical Research |