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You are here: Home > Directories > Faculty > Hongbin Gu, Ph.D.

Hongbin Gu, Ph.D.

Assistant Professor

Gu

E-mail:  hongbin@email.unc.edu

Office Phone:  (919) 966-7685

 

Education:

B.S., Quantitative Psychology (minor in Computer Science), East China Normal University, P.R. China

M.S., Statistics, University of North Carolina at Chapel Hill

Ph.D., Mathematical Psychology, L.L. Thurstone Psychometric Laboratory, University of North Carolina at Chapel Hill

Post Doc, Biostatistics, University of North Carolina at Chapel Hill


Summary Statement:

Dr. Gu’s program of research works toward developing and applying new quantitative methods to behavioral and biological data in neuroscience area. The undergoing research projects include causal and structural equation modeling, survival and longitudinal analysis, clinical trial, high-dimensional correlated data, neural-imaging data, and missing data imputation.


Representative Publications:

1.    Lieberman, J., Phillips, M., Gu, H., Stroup S., Zhang P., Kong, L., Ji Z., Koch G., Hamer R.: Atypical and Conventional Antipsychotic Drugs in First-Episode Schizophrenia: Comparison of Clozapine versus Chlorpromazine in a 52 Week Randomized Double-Blind Trial; Neuralpharmachology (in press).

2.    J. Leserman, J.M.Petitto, H. Gu, B. N. Gaynes, J. Barroso, R. N. Golden, D. O. Perkins, J. D. Folds, D. L. Evans: Progression to AIDS, a clinical AIDS condition and mortality: psychosocial and psysiological predictors, Psychological Medicine, 32, 1059-1073, 2002.

3.    Wallstens, T. S., Gu, H.: Distinguishing Choice and Subjective Probability Estimation Processes: Implications for Theories of Judgment and for Cross-Culture Comparisons. Organizational Behavior and Human Decision Processes: vol. 90(1) pp 111 – 123, 2003.

4.    Gu, H., & Wallsten, T. S.: On setting Response Criteria for Calibrated Subjective Probability Estimates. Journal of Mathematical Psychology: Vol. 45(4): 551-563, 2002.

5.    Gu, H. & Ji, C.: A Unified View on Speeded Categorization Models under the Bayesian Framework. Journal of Mathematical Psychology (submitted).