Research Interests
- Survival analysis
- non-proportional hazards
- microarray gene expression data analysis
- high-dimensional data
- dimension reduction.
Courses Taught
Number | Name | Level |
|---|---|---|
SBM 3586 | Diamond Peer Teachers - Internship II | Undergraduate |
STAT 0827 | Statistical Reasoning & Games of Chance | Undergraduate |
STAT 1001 | Quantitative Methods for Business I | Undergraduate |
STAT 1102 | Quantitative Methods for Business II | Undergraduate |
STAT 1902 | Honors Quantitative Methods for Business II | Undergraduate |
STAT 2103 | Statistical Business Analytics | Undergraduate |
STAT 2903 | Honors Statistical Business Analytics | Undergraduate |
STAT 5001 | Quantitative Methods for Business | Graduate |
STAT 5607 | Advanced Business Analytics | Graduate |
STAT 5801 | Statistical Analysis for Management | Graduate |
Selected Publications
Recent
Spirko-Burns, L. & Devarajan, K. (2021). Supervised Dimension Reduction for Large-Scale “Omics” Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards. doi: 10.1109/tcbb.2020.2965934.
Spirko-Burns, L. & Devarajan, K. (2020). Unified methods for feature selection in large-scale genomic studies with censored survival outcomes. Bioinformatics, 36(11), 3409-3417. doi: 10.1093/bioinformatics/btaa161.
Burns, L.N. Methods for Handling Correlated Covariates in Integrative Genomics Analysis. Denver.
Burns, L.N. (2018). Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes.
Spirko, L. (2017). Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes. Baltimore, MD.
(2022). Variable Selection and Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes.