Office of Statistical Consulting

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OSC Consulting Team

The OSC consulting team consists of the director and the associate director, as well as some rotating faculty members and graduate students.

· Director and Associate Director

· Faculty Advisory Board

· Faculty and Areas of Expertise

Director and Associate Director

Director: Minge Xie’s (Ph.D. Illinois)

Dr. Xie’s main research interest lies in developing new statistical methodologies and theories for problems stemming from interdisciplinary research. His research interests include statistical applications in Bio-medical Sciences, Social Sciences, Industry, Engineering, and Environmental Sciences. In the past six years, Dr. Xie has conducted research projects sponsored by grants from the National Science Foundation (NSF), the National Institute of Health (NIH), The Department of Veterans Affairs (VA), the Federal Aviation Administration (through RU IE department), the American Diabetes Association, among others.

Associate Director: Steven Buyske (Ph.D. Brown; Ph.D. Rutgers)

Dr. Buyske's main research interests are in statistical genetics, biostatistics, psychometrics, and experimental design. He holds adjunct appointments in the Genetics Department and the Center of Alcohol Studies, and is actively involved in several interdisciplinary research projects with colleagues in the Genetics, Molecular Biology, and Psychology Departments, the Center of Alcohol Studies, and the UMDNJ Departments of Psychiatry, Neurology, and Surgery. Dr. Buyske's research projects are supported in part by grants from the National Institutes of Health as well as the National Alliance for Autism Research.

Associate Director: Tong Zhang (Ph.D. Stanford)

Dr. Zhang's main research interests include machine learning, algorithms for statistical computation, their mathematical analysis and applications. His interdisciplinary research includes business intelligence, text mining, web analysis, pattern recognition, and bioinformatics, etc. Dr. Zhang's research projects are supported in part by grants from the National Science Foundation and National Security Agency, among others.

Manager: Mayra Howell

Contact information

       Telephone: 732-445-2696
        FAX: 732-445-3428
        E-mail: osc@stat.rutgers.edu

Or, Write to

        Ms. Mayra Howell
        Manager, Office of Statistical Consulting
        Department of Statistics
        479 Hill Center-Busch Campus
        Rutgers, The State University of New Jersey
        110 Frelinghuysen Rd
        Piscataway, NJ 08854-8019, USA

Faculty Advisory Board

Professor David Madigan, Associate Dean, Faculty of Arts and Sciences, Rutgers University

Professor Regina Liu, Chair, Department of Statistics, Rutgers University

Professor John Kolassa, Graduate Director, Department of Statistics, Rutgers University

Professor Harold Sackrowitz, Undergraduate Director, Department of Statistics, Rutgers University

Professor Javier Cabrera, Director, Institute of Biostatistics, Department of Statistics, Rutgers University

Faculty and Areas of Expertise

· Robert H. Berk, Ph.D. Harvard. Sequential analysis, nonparametric statistics, large sample theory, non- and semi-parametric methods, robust techniques, quality control.

· Steven Buyske, Ph.D. Brown (Mathematics); Ph.D. Rutgers (Statistics). Statistical genetics, biostatistics, psychometrics, experimental design.

· Javier Cabrera, Ph.D. Princeton. Statistical computing, graphical methods, computer vision, directional data analysis.

· Arthur Cohen, Ph.D. Columbia. Decision theory, linear models.

· Richard Gundy, Ph.D. Indiana Univ. (experimental psychology). Ph.D. University of Chicago (statistics). Probability theory, harmonic analysis.

· Donald Hoover, Ph.D. Stanford; MPH UCLA. Clinical trials, epidemiology, longitudinal methods, group randomization and multiple comparisons.

· Rebecka Jornsten, Ph.D. UC Berkeley. Applied statistics, image and signal processing, time series analysis.

· John Kolassa, Ph.D. Univ. Chicago. Asymptotics, biostatistics.

· Juan Lin, Ph.D., Univ. Chicago. Multivariate analysis, probabilistic networks, machine learning.

· Regina Y. Liu, Ph.D. Columbia. Nonparametric inferences, resampling, data depth, text mining, statistical quality control.

· David Madigan, Ph.D. Trinity College, Dublin. Data mining, statistical computing, Bayesian data analysis, graphical Markov models.

· Joseph Irwin Naus, Ph.D. Harvard. Applied probability, sampling theory, data quality control, clustering and coincidence models, matching in DNA sequences.

· Harold B. Sackrowitz, Ph.D. Columbia. Statistical inference and decision theory, finite action problems, order restricted inference.

· Lawrence Shepp, Ph.D. Princeton. Mathematical models in economics and finance, pure and applied probability, tomography and medical imaging.

· Kesar Singh, Ph.D. Indian Statistical Institute. Nonparametric statistics, asymptotics, large deviations. Resampling procedures: bootstrap and jackknife, notions of data depth, angular data. Confidence distributions. Mathematical finance.

· William E. Strawderman, Ph.D. Rutgers. Decision theory, Bayesian analysis, multivariate statistics.

· David E. Tyler, Ph.D. Princeton. Multivariate analysis, robust techniques, directional data, computer vision and time series.

· Minge Xie, Ph.D. Illinois. Longitudinal data analysis, modeling and statistical inference, with applications to biomedical sciences, social sciences and industries.

· Cun-Hui Zhang, Ph.D. Columbia. Empirical Bayes methods, survival analysis, statistical inference and probability theory.

QUESTIONS?