Statistical methods for missing data; longitudinal and correlated data; statistical methods for gene expression data; Bayesian hierarchical models.
Currently Dr. Moore's statistical methods research is focused on developing methods for longitudinal RNA-sequencing data, with applications to refractory asthma. She collaborates with investigators at National Jewish Health and at the University of Colorado on research in asthma, tuberculosis, and idiopathic pulmonary fibrosis.
Missing data, longitudinal and correlated data, applied data analysis and consulting.
- BIOS 6623 Advanced Data Analysis
- PhD in Biostatistics, University of Colorado Denver, 2016
- MS in Biostatistics, University of Colorado Denver, 2013
- MA in Art History, New York University, 2007
- BA in Chemistry and Archaeology, Cornell University, 2003
What makes you passionate about or interested in biostatistics?
Working in biostatistics I am able to participate in a wide variety of important public health and biomedical research projects. I am always learning new things about biology and public health from my collaborators. Plus, math is fun!