potrait

Brian Neelon, PhD
Associate Professor
Department of Public Health Sciences
Medical University of South Carolina

Contact Information:
  Room CS305K
  Department of Public Health Sciences
  Medical University of South Carolina
  135 Cannon Street, Suite 303
  Charleston, SC 29425-8350 USA
  E-mail: neelon@musc.edu

Somewhat Current CV
Research Interests
Bayesian inference; longitudinal data analysis; latent trajectory models; zero-inflated and semicontinuous models; spatial data analysis; health services research

Selected Publications
  1. Benecha H, Neelon B, Divaris K, Preisser JS (2017). Marginalized mixture models for count data from multiple source populations. Journal of Statistical Distributions. In press.

  2. 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, 35, 5070-5093.

  3. 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, 35, 5094-511.

  4. Neelon B and Chung D (2016). The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics. Early View.

  5. Smith VA, Neelon B, Preisser JS, Maciejewski ML (2015). A marginalized two-part model for longitudinal semicontinuous data. Statistical Methods in Medical Research. In press.

  6. Neelon B, Li F, Burgette LF, Benjamin Neelon SE (2015). A spatiotemporal quantile regression model for emergency department expenditures. Statistics in Medicine, 34, 2559-2575.

  7. Zhao L, Feng D, Buyse M, Neelon B (2015). Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers. Statistics in Medicine, 34, 1733-1746.

  8. Neelon B, Zhu L, Benjamin Neelon SE (2015). Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures. Biostatistics, 16, 465-479.

  9. Neelon B, Chang HC, Ling Q, Hastings SN (2014). Spatiotemporal hurdle models for zero-inflated count data: exploring trends in emergency department visits. Statistical Methods in Medical Research. In press.

  10. Amatya A, Bhaumik D, Normand S-L, Greenhouse J, Kaizar E, Neelon B, Gibbons RD (2014). Likelihood-based random effect meta-analysis of binary events. Journal of Biopharmaceutical Statistics, 25, 984-1004.

  11. Smith VA, Preisser JS, Neelon B, Maciejewski ML (2014). A marginalized two-part model for semicontinuous data. Statistics in Medicine, 33, 4891-4903.

  12. Neelon B, Gelfand AE, Miranda ML (2014). A multivariate spatial mixture model for areal data: examining regional differences in standardized test scores. Journal of the Royal Statistical Society: Series C, 6, 737-761.

  13. Neelon B, Anthopolos R, Miranda ML (2014). A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes. Statistical Methods in Medical Research, 23(2), 119-133.

  14. Neelon B, Ghosh P, Loebs PF (2013). A spatial Poisson hurdle model for exploring geographic variation in emergency department visits. Journal of the Royal Statistical Society: Series A, 176(2), 389-413.

  15. Montagna S, Tokdar ST, Neelon B, Dunson DB (2012). Bayesian latent factor regression for functional and longitudinal data. Biometrics, 68, 1064-1073.

  16. Bhaumik DK, Amatya A, Normand S-L, Greenhouse J, Kaizar L, Neelon B, Gibbons RD (2012). Meta-analysis of binary rare adverse event data. Journal of the American Statistical Association, 107, 555-567.

  17. Neelon B, Swamy GK, Burgette LF, and Miranda ML (2011). A Bayesian growth mixture model to examine maternal hypertension and birth outcomes. Statistics in Medicine, 30, 2721-2735.

  18. Neelon B, O'Malley AJ, and Normand S-L (2011). A Bayesian two-part latent class model for longitudinal medical expenditure data: assessing the impact of mental health and substance abuse parity. Biometrics, 67, 280-289.

  19. Neelon B and O'Malley AJ. (2010). Bayesian analysis using power priors with application to pediatric quality of care. Journal of Biometrics and Biostatistics, 1:103. doi: 10.4172/2155-6180.1000103

  20. Neelon B, O'Malley AJ, and Normand S-L (2010). A Bayesian model for repeated measures zero-inflated count data with application to psychiatric outpatient service use. Statistical Modelling, 10(4):421-439.

  21. Neelon B and Dunson DB (2004). Bayesian isotonic regression and trend analysis. Biometrics, 60, 177-191.

  22. Dunson DB and Neelon B (2003). Bayesian inference on order constrained parameters in generalized linear models. Biometrics, 59, 286-295.


Books and Book Chapters
  1. Neelon B (2016). Spatial data analysis for health services research. In Andrew Lawson, Sudipto Banerjee, Robert Haining and Lola Ugarte (eds.) Handbook of Spatial Epidemiology. Chapter 29, pages 549--562. CRC Press.

  2. Kupper L, Neelon B, O'Brien S. (2013). Exercises and Solutions in Statistical Theory. CRC Press.

  3. Kupper L, Neelon B, O'Brien S. (2010). Exercises and Solutions in Biostatistical Theory. CRC Press.