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Sarah Emerson in front of wooden backdrop

Sarah C. Emerson

Associate Professor
Department of Statistics

Sarah C. Emerson

Associate Professor
Department of Statistics

Background

Education

Postdoctoral Research Fellowship Biostatistics, Harvard School of Public Health, 2009 - 2010

Ph.D. Statistics, Stanford University, 2009

B.S. Mathematics, Stanford University, 2004

Research

Research Interests

  • Nonparametric and Semi-parametric Methods Biostatistics
  • Adaptive and Group Sequential Clinical Trials Methodology
  • Categorical Data Analysis
  • Multiple Hypothesis Testing
  • Multivariate Analysis
  • High-dimensional Data Analysis

Research Area

Data Science

Publications

  • Emerson, S. C., Waikar, S. S., Fuentes, C., Bonventre, J. V., and Betensky, R. A. (2017), “Biomarker validation with an imperfect reference: Issues and bounds,” Statistical Methods in Medical Research (In press)
  • Zhuo, B., Emerson, S. C., Chang, J. H., and Di, Y. (2016), “Identifying stably expressed genes from multiple RNA-Seq data sets,” PeerJ 4:e2791; DOI 10.7717/peerj.2791
  • Hutchinson, R., He, L., and Emerson, S. C. (2017), “Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-conditional Noise,” AAAI
  • Emerson, S. C., Ruzicka, K., and Wickham, C. (2015), “Rethinking the linear regression model for spatial ecological data: Comment,” Ecology 96(7), 2021–2025.
  • Emerson, S. C., and Emerson, S.S. (2013), “Detecting differential gene expression in subgroups of a disease population,” The International Journal of Biostatistics, 9(1), 95-108.