Manuscript
- Ma, C., Hitchcock B. D. (2017) Supervised Classification For Functional Data Using False Discovery Rate And Multivariate Functional Depth
- Chakraborty, P., Ma, C., Grego, J., Lynch, J. (2017) A Modified Mixed Model Approach To The Large Scale Multiple Testing Problem
- Ma, C., Ho, Y., Christenson, S., Nho, R. (2017) Genome-Wide Study of miRNA Regulated Gene Expressions Networks in Association With Emphysematous Lung Destruction
Contributed Presentations and Posters
- Data Visualization For Clinical Data By Using Python (2017), Food and Drug Administration, Silver Spring, MD
- A Comparison to Analytic Approaches In The Same Clinical Study On Responder Definition And Treatment Efficacy (2017), Food and Drug Administration, Silver Spring, MD
- Genome-Wide Study of miRNA Regulated Gene Expressions Networks in Association with Emphysematous Lung Destruction (2017), Joint Statistical Meetings, Baltimore, MD
- Supervised Classification for Functional Data Using False Discovery Rate and Multivariate Functional Depth (2016), Joint Statistical Meetings, Chicago, IL
- Supervised Classification for Functional Data Using Multivariate Functional Depth (2016), Southern Regional Council on Statistics, Bentonville, AK
- Supervised Classification for Functional Data by Estimating the Density of Multivariate Depth (2015), South Carolina-American Statistical Association, Columbia, SC