Go to USC home page USC Logo Department of Statistics

Environmental and biomedical applications

[ecological applications, bioinformatics, spatial statistics, longitudinal data analysis, medicare fraud detection]

Theme leader: John Grego
Theme members: Dryden, Edwards, Grego, Hanson, Hitchcock, Huang, Lin, Pena, Tebbs, H.Wang, L.Wang, Zhao

Some Publications

  • J.M. Grego, P.A. Yates (2010), Point and standard error estimation for quantiles of mixed flood distributions, Journal of Hydrology, 391, 289-301.
  • Alshabani, A. K. S.; Dryden, I. L.; Litton, C. D.; Richardson, J. Bayesian analysis of human movement curves. J. Roy. Statist. Soc. Ser. C 56 (2007), no. 4, 415--428.
  • Arato, N. Miklos; Dryden, Ian L.; Taylor, Charles C. Hierarchical Bayesian modelling of spatial age-dependent mortality. Comput. Statist. Data Anal. 51 (2006), no. 2, 1347--1363.
  • Autin, Melanie and Edwards, Don (2010). .Nonparametric Harmonic Regression for Estuarine Water Quality Data.. Environmetrics 21, 588-605.
  • Carolan, Christopher A.; Tebbs, Joshua M. Nonparametric tests for and against likelihood ratio ordering in the two-sample problem. Biometrika 92 (2005), no. 1, 159--171.
  • Hiers, J.K., O'Brien, J.J., Mitchell, R.J., Grego, J.M., Loudermilk, E.L. (2009), The fuel cell concept: an approach to characterize fine-scale variation in fuels and fire in frequently burned longleaf pine forests, International Journal of Wildland Fire, to appear.
  • Han, Jun; Slate, Elizabeth H.; Pena, Edsel A. Parametric latent class joint model for a longitudinal biomarker and recurrent events. Stat. Med. 26 (2007), no. 29, 5285--5302.
  • Ignatova, Iliana and Edwards, Don (2008). Probe Samples and the Minimum Sum Method for Medicare Fraud Investigations. Health Services and Outcomes Research Methodology 8: 209-221.
  • Li, M. and Hanson, T. (2011). Bayesian nonparametric multivariate statistical models for testing association between quantitative traits and candidate genes in structured populations. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60, 207-219.
  • Tebbs, Joshua M.; McCann, Melinda H. Large-sample hypothesis tests for stratified group-testing data. J. Agric. Biol. Environ. Stat. 12 (2007), no. 4, 534--551.
  • Wang, Lianming; Sun, Liuquan; Sun, Jianguo A goodness-of-fit test for the marginal Cox model for correlated interval-censored failure time data. Biom. J. 48 (2006), no. 6, 1020--1028.
  • West, T. N., Brown, W. H., Grego, J. M., & Johnson, R. (2008). Practitioners' judgments of peer interaction interventions: A survey of DEC members. Journal of Early Intervention, 30(1), 36-54.
  • Xu, L., Hanson, T., Bedrick, E., and Restrepo, C. (2010). Hypothesis tests on mixture model components with applications in ecology and agriculture. Journal of Agricultural, Biological, and Environmental Statistics, 15, 308-326.
  • Shrivastava, D., Abosch, A., Hanson, T., Tian, J., Gupte, A., Iaizzo, P., and Vaughan, J.T. (2010). Effect of the extracranial deep brain stimulation lead on radiofrequency heating at 9.4 Tesla (400.2 MHz). Journal of Magnetic Resonance Imaging, 32, 600-607.
  • Rafati, N., Mehranabi-Yeganeh, H., and Hanson, T. (2010). Risk factors for abortion in dairy cows from commercial Holstein dairy herds in the Tehran region. Preventive Veterinary Medicine, 96, 170-178.
  • Zhou, D., Dryden, I.L., Koloydenko, A. and Bai, L. (2008). A Bayesian method with reparameterisation for diffusion tensor imaging. Proceedings, SPIE conference. Medical Imaging 2008: Image Processing, Joseph M. Reinhardt, Josien P. W. Pluim, Editors, 69142J.
    Return the Statistics Home Page