Sungwook Kim, PhD

Sungwook Kim

Sungwook Kim PhD

Assistant Professor of Statistics

Education

PhD, Statistics, University of Missouri, Columbia

Post doctor,  Biostatistics Research Branch, NIAID, NIH (National Institutes of Health)

Research Interests

  • Optimal Experimental Design
  • Interval Censored Data
  • Confidence Interval
  • Coefficient of Variation

Synopsis

Dr. Kim’s research interests in statistics include optimal experimental design under multivariate Weibull distribution, confidence intervals for the survival distribution of event times in current status data, and testing hypothesis for the difference between correlated ICVs (inverse coefficient of variation). At USciences, Dr. Kim teaches courses in biostatistics and statistics for research.  In his free time, Dr. Kim enjoys running and has completed three marathons and one-half marathon.

Selected Scholarly Activity

Kim, S., Follmann, D., Dodd, L., Proschan, M. Testing Hypothesis for the Difference between Two Correlated ICVs (Inverse Coefficient of Variation). (In preparation)

Kim, S. & Flournoy, N. c-Optimal Design under a Multivariate Weibull Function. (In preparation)

Kim, S., Fay, M., Proschan, M. Exact and Approximate Confidence Intervals for Current Status Data. (Submitted) (2017)

Fay, M. & Kim, S. Confidence intervals for directly standardized rates using mid-p gamma intervals. Biometrical Journal 59 (2) 377-387 (2017)

Kim, S. & Flournoy, N. Optimizing Experimental Design for Systems with Bivariate Failures under a Bivariate Weibull Function. Journal of the Royal Statistical Society: Series C (Applied Statistics) 64 (3), 413-432 (2015)

Professional Information

Visiting: Isaac Newton Institute for Mathematical Sciences, Cambridge University, Cambridge, United Kingdom

Contact Information

Office location: McNeil Science and Technology Center, Room 217
Mailing address: Box #64
University of Sciences
600 South 43rd Street
Philadelphia, PA 19104-4495
Office Phone: 215-596-7615
Email:

s [dot] kim [at] usciences [dot] edu