Rongheng Lin
B. S., University of Science and Technology of China, 2000; Ph.D., Johns Hopkins University, 2006; Postdoctoral training at NIH, National Institute of Environmental Health Sciences 2006-2007
High dimensional analysis, dose response curve, Bayesian methods, mixed model, ranking
I am interested in extensive statistical methods and applications to the research of biomedical science and public health. Two themes have been my current interest and from time to time they overlap with each other. The first one is theme is about making simultaneous inference on an ensemble of units, such as evaluating hospital profiling/ranking, various types of association evaluation in high-throughput genomic arrays; the other theme is the linear and nonlinear statistical methods that would be used to characterize nonlinear dose response relationship and the complex dynamics of biological systems.
Lin R, Matthews G.J, Foulkes A.S, A Note on the Uncertainty Evaluation of the Best Linear Unbiased Predictor (2012), submitted.
Au K, Lin R and Foulkes A.S. (2011) Mixture modeling as an exploratory framework for genotype-trait associations. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60(3), 355-375.
Lin R, Louis T, Paddock S, and Ridgeway G. (2009) Ranking USRDS provider specific SMRs from 1998{2001. Health Services Outcome Research, 9(1):22-38, doi:10.1007/s10742-008-0040-0.
Lin R, Dai S, Irwin RD, Heinloth AN, Boorman GA and Li L. (2008) Gene set enrichment analysis for non-monotone assocation and multiple experimental categories. BMC Bioinformatics 2008, 9:481 doi:10.1186/1471-2105-9-481.
Lin R, Louis T, Paddock S, and Ridgeway G. (2006) Loss function based ranking in two-stage, hierarchical models. Bayesian Analysis, 1(4), 915-946.
