Sarah C. Emerson
Associate Professor
Department of Statistics
Sarah C. Emerson
Associate Professor
Department of Statistics
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
Education
Postdoctoral Research Fellowship Biostatistics, Harvard School of Public Health, 2009 - 2010
Ph.D. Statistics, Stanford University, 2009
B.S. Mathematics, Stanford University, 2004
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.
