Li-Shan Huang, PhD

Associate Professor of Biostatistics
Ph.D. (1995) University of North Carolina, Chapel Hill


 

Contact Information:

University of Rochester
Dept of Biostatistics and Computational Biology
601 Elmwood Avenue Box 630
Rochester, New York 14642
 
Office: Saunders Research Building 4169
Fax: (585) 273-1031
E-mail: LHuang (at) bst.rochester.edu
Li-Shan Huang, PhD

Research Interests

My research focuses on nonparametric curve estimation, to relax assumptions on the form of the regression or density function. This is a flexible and useful approach that allows the data to determine a curve for itself. Applications of nonparametric techniques include time series and generalized linear models.

A different research interest involves environmental statistics. With the development of high-speed computers and computer graphics, one can better visualize the environmental data structure and analyze the nonhomogeneity present in data with appropriate statistical methods.



Technical Reports

  • Huang, L.-S. and Chan, K.-S. (2010). Local polynomial regression and mixed models. Manuscript, submitted.
  • Hanin, L., Liu, X., and Huang, L.-S. (2010). A Generalized Poisson distribution with application to modeling treatment outcomes. Manuscript, submitted.
        

Selected References

  • Fan, J., Gijbels, I., Hu, T.-C. and Huang, L.-S. (1996). An asymptotic study of variable bandwidth selection for local polynomial regression. Statistica Sinica 6, 113-127.
  • Huang, L.-S. (1997). Testing goodness-of-fit based on a roughness measure. Journal of the American Statistical Association 92, 1399-1402.
  • Huang, L.-S. and Fan J. (1999). Nonparametric estimation of quadratic regression functionals. Bernoulli 5, 927-949.
  • Huang, L.-S. and Smith, R.L. (1999). Meteorological-dependent trends in urban ozone. Environmetrics 10, 103-118.
  • Fan, J. and Huang, L.-S. (1999). Rates of convergence for the pre-asymptotic substitution bandwidth selector. Statistics and Probability Letters 43, 309-316.
  • Huang, L.-S. (2001). Testing the adequacy of a linear model via critical smoothing. Journal of Statistical Computation and Simulation 68, 281-294.
  • Hall, P., Huang, L.-S., Gifford, J. and Gijbels, I. (2001). Nonparametric estimation of hazard rate under the constraint of monotonicity. Journal of Computational and Graphical Statistics 10, 592-614.
  • Hall, P. and Huang, L.-S. (2001). Nonparametric kernel regression subject to monotonicity constraints. Annals of Statistics 29, 624-647.
  • Fan, J. and Huang, L.-S. (2001). Goodness-of-fit tests for parametric regression models. Journal of the American Statistical Association 96, 640-652.
  • Huang, L.-S. (2001). A roughness-penalty view of kernel smoothing. Statistics and Probability Letters 52, 85-89.
  • Hall, P. and Huang, L.-S. (2002). Unimodal density estimation using kernel methods. Statistica Sinica 12, 965-990.
  • Myers, G.J., Davidson, P., Cox, C., Shamlaye, C., Palumbo, D., Cernuchiarti, E., Sloane-Reeves, J., Wilding, G. E., Kost, J., Huang, L.-S., and Clarkson, T. (2003). Prenatal methylmercury exposure from ocean fish consumption in the Seychelles child development study. Lancet 361, 1686-1692.
  • Huang, L.-S., Cox, C., Wilding, G.E., Myers, G.J., Davidson, P., Cernuchiarti, E., Sloane-Reeves, J., Shamlaye, C. and Clarkson, T. (2003). Using measurement error models to assess effects of prenatal and postnatal methylmercury exposure in the Seychelles child development study. Environmental Research 93, 115-122.
  • Huang, L.-S., Wang, H., and Cox, C. (2005). Assessing interaction effects in linear measurement error models. Journal of the Royal Statistical Society Series C Applied Statistics 1, 21-30.
  • Braun, W. J. and Huang, L.-S. (2005). Kernel spline regression. Canadian Journal of Statistics 33, 259-278.
  • Huang, L.-S., Cox, C., Myers, G.J., Davidson, P., Cernuchiarti, E., Sloane-Reeves, J., Shamlaye, C. and Clarkson, T. (2005). Exploring nonlinear association between prenatal methylmercury exposure from fish consumption and child development: Evaluation of the Seychelles Child Development Study nine-year data using semiparametric additive models. Environmental Research 97, 100-108.
  • Huang, L.-S., Myers, G.J., Davidson, P.W., Cox, C., Xiao, F., Thurston, S.W., Cernuchiarti, E., Shamlaye, C.F., Sloane-Reeves, J., Georger L. and Clarkson, T.W. (2007). Is susceptibility to prenatal methylmercury exposure from fish consumption non-homogeneous? Tree-structured analysis for the Seychelles child development study. NeuroToxicology, 28, 1237-1244.
  • Huang, L.-S. and Chen, J. (2008). Analysis of variance, coefficient of determination, and F-test for local polynomial regression. Annals of Statistics, 36, 2085-2109.
  • He, H. and Huang, L.-S. (2009). Double-smoothing for bias reduction in local linear regression. Journal of Statistical Planning and Inference, 139, 1056-1072.
  • Huang, L.-S. and Su, H. (2009). Nonparametric F-tests for nested global and local polynomial models. Journal of Statistical Planning and Inference, 139, 1372-1380.

  • Huang, L.-S. and Davidson, P.W. (2010). Analysis of Variance and F-Tests for Partial Linear Models with Applications to Environmental Health Data. Journal of the American Statistical Association, http://pubs.amstat.org/doi/pdf/10.1198/jasa.2010.ap08274